# Reinforcement learning

Acme, TorchRL & Ray seem nice. Hugging Face Deep Reinforcement Learning Class is great intro.

Reinforcement Learning with Neural Radiance Fields is fascinating.

## Links

- Where to start learning Reinforcement Learning in 2018?
- Reinforcement Learning, An Introduction Book - Significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. (Web) (Code) (Julia Code) (Video Summary)
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, TensorFlow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
- Learning to Learn for Robotic Control - Prof. Pieter Abbeel
- MIT AGI: OpenAI Meta-Learning and Self-Play (Ilya Sutskever)
- Dissecting Reinforcement Learning: Part 1
- Learning Dexterity (2018)
- Dopamine - Research framework for fast prototyping of reinforcement learning algorithms.
- Spinning Up in Deep RL - Educational resource produced by OpenAI that makes it easier to learn about deep reinforcement learning (deep RL). (Docs) (HN) (Code)
- Advanced Deep Learning & Reinforcement Learning Course (2018)
- OpenAI Gym - Toolkit for developing and comparing reinforcement learning algorithms.
- Hands-On Reinforcement Learning With Python book
- David Silver Reinforcement learning - Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
- Paper Collection of Multi-Agent Reinforcement Learning (MARL)
- MARL (Multi-Agent Reinforcement Learning Experiments)
- RLlib - Open-source library for reinforcement learning that offers both high scalability and a unified API for a variety of applications.
- Stable Baselines - Set of improved implementations of reinforcement learning algorithms based on OpenAI Baselines.
- pytorch-a3c - PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
- The Power of Self-Learning Systems (2019)
- Awesome Self-Supervised Learning
- PlaNet - Deep Planning Network: Control from pixels by latent planning with learned dynamics.
- Learning to Paint - Painting AI that can reproduce paintings stroke by stroke using deep reinforcement learning.
- Self-Supervised Learning (HN)
- RL Baselines Zoo - Collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
- bsuite - Collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent.
- OpenSpiel - Collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
- Stochastic Lower Bound Optimization - Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees.
- KataGo - Research and experimentation with self-play training in Go.
- Catalyst - Reproducible and fast DL & RL.
- The Mathematics of AlphaGo (2019)
- Value Prediction Network (2017)
- Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model (2019) (Reddit) (Article)
- BCQ - PyTorch implementation of BCQ for "Off-Policy Deep Reinforcement Learning without Exploration".
- Reinforcement Learning: Theory and Algorithms (HN)
- TorchBeast - PyTorch Platform for Distributed RL.
- The Promise of Hierarchical Reinforcement Learning (2019)
- rlpyt - Reinforcement Learning in PyTorch.
- Accelerated Methods for Deep Reinforcement Learning
- Programmatically interpretable reinforcement learning (2020)
- Curriculum for Reinforcement Learning (2020)
- RLax - Library built on top of JAX that exposes useful building blocks for implementing reinforcement learning agents.
- Curated list of awesome imitation learning resources and publications
- Structural implementation of RL key algorithms
- DeepRLHacks - Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp.
- Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford University, MIT, UC Berkeley
- PyTorch implementation of soft actor critic
- Tutorial on Deep Reinforcement Learning in PyTorch
- prob_mbrl - Library of probabilistic model based RL algorithms in pytorch.
- PhoenixGo - Go AI program which implements the AlphaGo Zero paper.
- TensorTrade - Trade Efficiently with Reinforcement Learning.
- En-Lightning Reinforcement Learning (2020) - Building a DQN with PyTorch Lightning.
- Transformer Reinforcement Learning - Train transformer language models with reinforcement learning.
- David Silver - Deep Reinforcement Learning from AlphaGo to AlphaStar (2020)
- AlphaZero.jl - Generic, simple and fast implementation of Deepmind's AlphaZero algorithm. (HN)
- Multi-Agent Particle Environment
- CURL: Contrastive Unsupervised Representations for Reinforcement Learning (2020) (Code)
- Maria-Florina Balcan's publications
- An Optimistic Perspective on Offline Reinforcement Learning (2020)
- Offline Reinforcement Learning: How Conservative Algorithms Can Enable New Applications (2020)
- TensorSwarm - Framework for reinforcement learning of robot swarms.
- Learning with Random Learning Rates in PyTorch
- Continual Learning Literature
- Using Reinforcement Learning in the Algorithmic Trading Problem (2020) (HN)
- Unsupervised Meta-Learning: Learning to Learn without Supervision (2020)
- metric-learn - Metric Learning in Python.
- Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels (Code)
- Reinforcement Learning Zoo - Collection of the most practical reinforcement learning algorithms, frameworks and applications.
- The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies (2020) (Paper) (Twitter)
- mentalRL - A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry.
- Reinforcement Learning With TicTacToe
- Coach - Python reinforcement learning framework containing implementation of many state-of-the-art algorithms.
- Reinforcement Learning with Convex Constraints (2019) (Code)
- Acme: A new framework for distributed reinforcement learning | DeepMind (2020) (Code) (Intro)
- Slime Volleyball Gym Environment - Simple OpenAI Gym environment for single and multi-agent reinforcement learning.
- References on Optimal Control, Reinforcement Learning and Motion Planning
- NetHack Learning Environment (NLE) - Reinforcement Learning environment based on NetHack 3.6.
- RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real (2020)
- MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library (2020)
- Minimalistic Gridworld Environment (MiniGrid)
- Meta-Learning Curiosity Algorithms
- Reinforcement Learning in Swift
- dm_env - DeepMind RL Environment API.
- SURREAL - Fully integrated framework that runs state-of-the-art distributed reinforcement learning (RL) algorithms.
- Suggestions of good RL courses (2020)
- Reinforcement Learning Under Moral Uncertainty (2020) (Reddit) (Code)
- Go-Explore: a New Approach for Hard-Exploration Problems (2019) (Code)
- Neural Architecture Search (2020)
- Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
- Tonic - Deep reinforcement learning library.
- Model Based Reinforcement Learning Benchmarking Library (MBBL)
- TF-Agents - Reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
- Reinforcement Learning Specialization by University of Alberta
- Optax - Gradient processing and optimization library for JAX.
- Chex - Library of utilities for helping to write reliable JAX code.
- Reinforcement Learning for Combinatorial Optimization: A Survey (2020)
- GenRL - PyTorch reinforcement learning library centered around reproducible and generalizable algorithm implementations. (HN) (Docs) (Tutorials) (Reddit)
- Stable Baselines3 - PyTorch version of Stable Baselines, improved implementations of reinforcement learning algorithms.
- Minigo - Minimalist Go engine modeled after AlphaGo Zero, built on MuGo.
- Reinforcement learning, non-Markov environments, and memory (2020)
- Mathy - Platform for using computer algebra systems to solve math problems step-by-step with reinforcement learning. (Code)
- Multi-Agent Resource Optimization (MARO) - Instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization.
- Homer: Provable Exploration in Reinforcement Learning (2020)
- RLCard - Toolkit for Reinforcement Learning in Card Games.
- Deep Reinforcement Learning Course (2020) (Code)
- GridRoyale - Life simulation for exploring social dynamics. (HN)
- TorchRL - PyTorch Implementation of Reinforcement Learning Algorithms.
- Reinforcement learning is supervised learning on optimized data (2020) (HN)
- Deep Reinforcement Learning Algorithms
- Introduction to Reinforcement Learning (2020) (Code)
- AI safety gridworlds - Suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
- RL and Deep-RL implementations
- You don't need reinforcement learning when you have basic physics (2020) (HN)
- TensorLayer - Deep Learning and Reinforcement Learning Library for Scientists and Engineers. (Docs)
- FitML - Collection of python Machine Learning articles and examples.
- Notes and scripts for SC2LE released by DeepMind and Blizzard
- PFRL - PyTorch-based deep reinforcement learning library.
- Deep Reinforcement Learning Papers
- ChainerRL - Deep reinforcement learning library built on top of Chainer.
- RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments
- Best Reinforcement Learning Tutorials, Examples, Projects, and Courses (2020)
- EvoStrat - Library that makes Evolutionary Strategies (ES) simple to use.
- Alpha Zero Boosted - "build to learn" implementation of the Alpha Zero algorithm written in Python that uses LightGBM (Gradient Boosted Decision Trees) in place of a Deep Neural Network for value/policy functions.
- XingTian - Componentized library for the development and verification of reinforcement learning algorithms.
- Theoretical Foundations of Reinforcement Learning (2020)
- mazelab - Customizable framework to create maze and gridworld environments.
- Addressing Function Approximation Error in Actor-Critic Methods - PyTorch implementation of Twin Delayed Deep Deterministic Policy Gradients (TD3).
- Discovering Reinforcement Learning Algorithms (2020)
- Data-Efficient Reinforcement Learning with Self-Predictive Representations
- DeepMind Lab2D - Flexible and fast engine for rapidly creating 2D environments. Built for RL, and well suited for the needs of multi-agent research. (Paper) (HN)
- Understanding RL Vision (2020)
- PettingZoo - Python library for conducting research in multi-agent reinforcement learning. It's akin to a multi-agent version of OpenAI's Gym library.
- DeepMind Hard Eight Tasks - Set of 8 diverse machine-learning tasks that require exploration in partially observable environments to solve.
- TetrisRL - Tetris environment to train machine learning agents.
- Deep Reinforcement Learning: Pong from Pixels (2016)
- dm_env_rpc - Networking protocol for agent-environment communication.
- PHYRE - Benchmark for physical reasoning. (Web)
- SuperSuit - Easy-to-use micro-wrappers for Gym and PettingZoo based RL Environments.
- ViZDoom - Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information. (Web)
- Reinforcement Learning at Microsoft
- banditml - Lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.
- SUMO-RL - Provides a simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control.
- PyGeneses - PyTorch based DeepRL framework to train and study artificial species in bio-inspired environments. (Docs) (Article)
- Lessons Learned Reproducing a Deep Reinforcement Learning Paper (2018)
- CompilerGym - Reinforcement learning toolkit for compiler optimizations. (Docs) (HN)
- Introduction to Reinforcement Learning with David Silver
- MuZero General - Commented and documented implementation of MuZero based on the Google DeepMind paper (Nov 2019) and the associated pseudocode.
- Deep Reinforcement Learning Hands-On (2020) (Code)
- ReBeL - Algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.
- NEAT Gym - Learn OpenAI Gym environments using NEAT.
- RLStructures - Library to facilitate the implementation of new reinforcement learning algorithms.
- FinRL - Deep Reinforcement Learning Library for Quantitative Finance. (HN)
- ReAgent - Platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.). (Docs)
- Deep Reinforcement Learning Algorithms
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
- minimalRL PyTorch - Implementations of basic RL algorithms with minimal lines of code.
- Awesome RL Competitions
- PyGame Learning Environment - Reinforcement Learning Environment in Python.
- OpenAI PLE environment - Learning environment, mimicking the Arcade Learning Environment interface.
- h-baselines - High-performing hierarchical reinforcement learning models and algorithms.
- AI Habitat - Simulation platform for research in Embodied AI. (Habitat Challenge 2020 Code)
- Fundamentals of Multiagent Systems (2010)
- CleanRL - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features.
- Rainbow is all you need - Step-by-step tutorial from DQN to Rainbow.
- MTEnv - MultiTask Environments for Reinforcement Learning.
- Mastering Atari with Discrete World Models (2021)
- Proto-RL: Reinforcement Learning with Prototypical Representations
- Task-Agnostic Morphology Optimization (2021) (Code)
- MADRL - Code for multi-agent deep reinforcement learning.
- Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings (2021) (Code)
- Self-supervised learning: The dark matter of intelligence (2021) (Tweet)
- Examples of RL applied to problems that aren’t gaming/robotics? (2021)
- Self-Supervised Policy Adaptation during Deployment (2020) (Reddit)
- Self-Supervised Learning - Yann LeCun (2019)
- Reinforcement Learning: Introduction by Sutton and Barto
- Debugging Reinforcement Learning Systems (2021)
- Mastering Real-Time Strategy Games with Deep Reinforcement Learning: Mere Mortal Edition (2021)
- adeptRL - Reinforcement learning framework to accelerate research.
- OpenAI Baselines - Set of high-quality implementations of reinforcement learning algorithms.
- Jax (Flax) RL - Jax (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
- Markov Decision Processes (MDPs) - Structuring a Reinforcement Learning Problem (2018)
- Deep Reinforcement Learning Berkeley Course (Code) (GitHub)
- Awesome Offline RL - Collection of research and review papers for offline reinforcement learning.
- Podracer architectures for scalable Reinforcement Learning (2021) (Tweet)
- RL Baselines3 Zoo - Training Framework for Stable Baselines3 Reinforcement Learning Agents.
- Awesome RL environments
- Awesome Deep RL
- Large collection of machine learning / RF paper notes
- Ecole - Extensible Combinatorial Optimization Learning Environments. (Web)
- MBRL-Lib - Library for Model Based RL.
- Towards a Theory of Generalization in Reinforcement Learning (2021)
- Evolving Reinforcement Learning Algorithms (2021)
- Model-Based RL for Decentralized Multi-agent Navigation (2021)
- Mastering Atari with Discrete World Models (2021) (Code) (Code)
- RoboDesk - Multi-Task Reinforcement Learning Benchmark.
- ReinforcementLearning.jl - Reinforcement learning package for Julia. (Web)
- Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies (2019) (Code)
- Cherry - PyTorch Library for Reinforcement Learning Research.
- Decision Transformer: Reinforcement Learning via Sequence Modeling (2021) (Reddit) (Reddit)
- Reinforcement Learning Tricks, Index
- CS234: Reinforcement Learning Course (Code)
- Decision Transformer: Reinforcement Learning via Sequence Modeling (2021) (Code)
- UC Berkeley Robot Learning Lab
- lifelong_rl - PyTorch implementations of RL algorithms.
- Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation (2021) (Code)
- Yann LeCun | The Energy-Based Learning Model (2021)
- Lil'Log - Blog about RL.
- PyTorch implementation of reinforcement learning algorithms
- D4RL: Datasets for Deep Data-Driven Reinforcement Learning
- Meta-World - Open source robotics benchmark for meta- and multi-task reinforcement learning. (Web)
- garage - Toolkit for reproducible reinforcement learning research.
- Reinforcement Learning as One Big Sequence Modeling Problem (2021)
- David Silver's UCL Course on RL
- Mava - Research framework for distributed multi-agent reinforcement learning. (Paper)
- Reinforcement Learning Examples - Policy Gradients, PPO+GAE, and DDQN Using OpenAI Gym and PyTorch.
- Hierarchical Reinforcement Learning by Discovering Intrinsic Options (Code)
- BASALT: A Benchmark for Learning from Human Feedback (2021) (Tweet)
- BRAX - Massively parallel rigidbody physics simulation on accelerator hardware.
- Towards Deeper Deep Reinforcement Learning (2021)
- Learning Invariant Representations for Reinforcement Learning without Reconstruction
- Python MARL - Python Multi-Agent Reinforcement Learning framework.
- Sample Factory - High throughput asynchronous reinforcement learning.
- Generally capable agents emerge from open-ended play (2021) (HN)
- Leveraging Procedural Generation to Benchmark Reinforcement Learning (2020) (Code)
- Intro to Advanced Actor-Critic Methods: Reinforcement Learning Course (2021)
- Tianshou - Elegant PyTorch deep reinforcement learning library. (Docs)
- Reinforcement Learning Generator-Evaluator Architecture for Question Generation
- AlphaGPU - Alphazero on GPU thanks to CUDA.jl.
- Policy Gradient Methods for Reinforcement Learning with Function Approximation (1999)
- For a beginner, what are the most influential papers in the history of RL? (2021)
- rliable - Open-source library for reliable evaluation on reinforcement learning and machine learnings benchmarks.
- d3rlpy - Offline deep reinforcement learning library. (Web)
- Why You Shouldn’t Use Reinforcement Learning (2021)
- Reinforcement Learning with Augmented Data (Code)
- Greedy AI agents learn to cooperate (2021) (HN)
- Spice.ai - Open source, portable runtime for training and using deep learning on time series data. (HN)
- Reinforcement Learning Lecture Series 2021 | DeepMind (Videos) (Tweet) (Reddit)
- PPO-PyTorch - Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch.
- rlberry - Easy-to-use reinforcement learning library for research and education.
- SEED RL - Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
- MiniHack - Sandbox for Open-Ended Reinforcement Learning Research.
- An Outsider's Tour of Reinforcement Learning (2018)
- Mastering Atari with Discrete World Models (2020) (Code)
- Falken - Provides developers with a service that allows them to train AI that can play their games.
- irl-imitation - Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL.
- Best RL papers from the past year or two (2021)
- Recurrent Model-Free RL is a Strong Baseline for Many POMDPs (2021)
- Godot RL Agents (Reddit)
- SaLinA: Sequential Learning of Agents (2021) - Flexible and Simple Library for Learning Sequential Agents (including Reinforcement Learning). (Code) (Tweet)
- EnvironmentLogger - Tool for recording RL trajectories.
- DrQ-v2 - Improved Data-Augmented Reinforcement Learning.
- Arcade Learning Environment (ALE) - Simple framework that allows researchers and hobbyists to develop AI agents for Atari 2600 games.
- ML Mentorship: Some Q/A about RL (2021)
- RLs - Reinforcement Learning Algorithms Based on PyTorch.
- DeepMind Alchemy environment - Meta-reinforcement learning benchmark.
- gym-hybrid - Collection of environment for reinforcement learning task possessing discrete-continuous hybrid action space.
- Simple PyTorch Implementations of Deep RL Algorithms for Continuous Control Research
- Learning to Ground Multi-Agent Communication with Autoencoders (2021)
- Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives (2021) (Code)
- Unsupervised Reinforcement Learning Benchmark (URLB)
- Mastering Atari Games with Limited Data (2021) (Code)
- RL Starter Files - RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code.
- JORLDY - Open Source Reinforcement Learning Framework.
- sinergym - Gym environment for building simulation and control using reinforcement learning.
- MetaDrive - Composing Diverse Driving Scenarios for Generalizable RL.
- Crafter - Benchmarking the Spectrum of Agent Capabilities.
- RLDS - Reinforcement Learning Datasets.
- Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability (2021) (Paper)
- Offline Reinforcement Learning: BayLearn 2021 Keynote Talk
- Baby Robot's Guide to Reinforcement Learning
- Learning Off-Policy with Online Planning (2020) (Code)
- f-IRL: Inverse Reinforcement Learning via State Marginal Matching (2020) (Code)
- TD3+BC - Minimalist Approach to Offline Reinforcement Learning.
- Reinforcement Learning Course Materials
- On the Expressivity of Markov Reward (2021) (Tweet)
- Isaac Gym Benchmark Environments - Contains example RL environments for the NVIDIA Isaac Gym high performance environments.
- Offline Reinforcement Learning with Implicit Q-Learning (2021) (Code)
- A Survey of Generalisation in Deep Reinforcement Learning (2021) (Tweet)
- Permutation-Invariant Neural Networks for Reinforcement Learning (2021)
- EnvPool - C++-based high-performance parallel environment execution engine for general RL environments. (Docs)
- Magi RL library in JAX
- WarpDrive - Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU.
- Embodied - Fast reinforcement learning research.
- Permutation-Invariant Neural Networks for Reinforcement Learning (2021) (HN)
- Only RL setting worth studying is the MDP (2021) (Tweet)
- Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy (2020) (Code)
- Deep Reinforcement Learning Algorithms with PyTorch
- MARL-Baselines3 - Multi-Agent Reinforcement Learning with Stable-Baselines3.
- ALF - Reinforcement learning framework emphasizing on the flexibility and easiness of implementing complex algorithms involving many different components.
- On the Practical Consistency of Meta-Reinforcement Learning Algorithms (2021) (Tweet)
- Awesome Reinforcement Learning for Cyber Security
- Balloon Learning Environment - Flying stratospheric balloons with deep reinforcement learning.
- The potential of transformers in reinforcement learning (2021) (HN)
- rvs - Reinforcement Learning via Supervised Learning.
- RLHive - Framework designed to facilitate research in reinforcement learning.
- Gym-ANM - Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.
- Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation (2020)
- Deep Reinforcement Learning for Keras
- DeepRL - Modularized Implementation of Deep RL Algorithms in PyTorch.
- Deep Reinforcement Learning Toolkit for Cryptocurrencies - Record and replay cryptocurrency limit order book data & train a DDQN agent.
- Multi-View Reinforcement Learning (2019) (Code)
- Mean Field Multi-Agent Reinforcement Learning (2019) (Code)
- An Optimistic Perspective on Offline Reinforcement Learning (2020) (Code)
- Deep Inverse Reinforcement Learning (Code)
- RLMeta - Light-weight flexible framework for Distributed Reinforcement Learning Research.
- HandyRL - Handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
- Simple random search provides a competitive approach to reinforcement learning (2018) (Code)
- Reinforcement Learning as a fine-tuning paradigm (2022)
- MTRL - Multi Task RL Baselines.
- MAgent - Library for creating 2D environments with very large numbers of agents for conducting research in Multi-Agent Reinforcement Learning.
- RLkit - Reinforcement learning framework and algorithms implemented in PyTorch.
- Can Wikipedia Help Offline Reinforcement Learning? (2022) (Code)
- Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning (2021) (Code)
- Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning (2021) (Code)
- Representation Learning for Reinforcement Learning
- Deep Reinforcement Learning in The Real World
- Solving NP-Hard Problems on Graphs with Extended AlphaGo Zero (2019) (Code)
- The Value Equivalence Principle for Model-Based Reinforcement Learning (2020) (Code)
- ai-traineree - PyTorch agents and tools for (Deep) Reinforcement Learning.
- RL Games: High performance RL library
- MuZero’s first step from research into the real world (2022) (HN)
- Isaac-ManipulaRL - Manipulator Reinforcement Learning based on Isaac-gym.
- coax - Plug-n-Play Reinforcement Learning in Python with OpenAI Gym and JAX.
- Implementation of Distributed Reinforcement Learning with TensorFlow
- Gold - Reinforcement Learning in Go.
- MetaGym - Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.
- Melting Pot - Suite of test scenarios for multi-agent reinforcement learning.
- CQL - Simple and modular implementation of the Conservative Q Learning and Soft Actor Critic algorithm in PyTorch.
- Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments (2017) (Code)
- TorchRL - Modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
- The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games (Code)
- Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning (2021) (Code)
- or-gym - Environments for OR and RL Research.
- AI-Optimizer - Next generation deep reinforcement learning tookit.
- SuperSonic - Automating reinforcement learning architecture design for code optimization.
- panda-gym - OpenAI/gym robotic environments based on PyBullet physics engine.
- Huskarl - Deep Reinforcement Learning Framework + Algorithms.
- Resources and material for an internal course on Reinforcement Learning
- MO-Gym: Multi-Objective Reinforcement Learning Environments
- DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills (2018) (Code)
- SC2RL - Reinforcement Learning + Starcraft 2.
- raylab - Reinforcement learning algorithms in RLlib and PyTorch.
- Hugging Face Deep Reinforcement Learning Class
- OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone
- Hands-on Reinforcement Learning course
- Rocket League Gym - Gym-like environment for Reinforcement Learning in Rocket League.
- SLM Lab - Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
- Safe Reinforcement Learning Baseline
- Circuit Training: An open-source framework for generating chip floor plans with distributed deep reinforcement learning
- Understanding Game-Playing Agents with Natural Language Annotations (2022) (Tweet)
- Learning to Brachiate via Simplified Model Imitation (2022) (Code)
- DeepMind: A Generalist Agent (2022) (HN) (Tweet)
- Alpha Zero and Monte Carlo Tree Search - Absolute most basic example of AlphaZero and Monte Carlo Tree Search. (Code)
- Scalable Deep Reinforcement Learning Algorithms for Mean Field Games (2022)
- RL4Rec - Toolkit of Reinforcement Learning based Recommendation.
- Brain Agent - Large-Scale and Multi-Task Agent Learning.
- Julia Reinforcement Learning Algorithms
- Border - Reinforcement learning library in Rust.
- Multi-Agent Reinforcement Learning is a Sequence Modeling Problem (2022) (HN)
- Reinforcement Learning with Neural Radiance Fields (2022) (Web)
- Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs (2022) (Code)
- Offline RL for Natural Language Generation with Implicit Language Q Learning (Code)
- Flow - Computational framework for deep RL and control experiments for traffic microsimulation.
- AlgebraicRL.jl - Julia library for composing Markov decision processes (MDPs) and their agents compositionally.
- Ivy Gym - Fully differentiable RL environments, written in Ivy.
- RL agent using private and shared world models
- Popular Model-free Reinforcement Learning Algorithms
- Designing Arithmetic Circuits with Deep Reinforcement Learning (2022)
- Synthesis - Rust implementation of AlphaZero algorithm.
- CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (2022) (Code)