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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A curated list of awesome Deep Reinforcement Learning resources.
| Date | Stars |
|---|---|
| 2026-07-31 | 897 |
| 2026-08-01 | 897 |
| 2026-08-02 | 897 |
| 2026-08-06 | 897 |
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# Awesome Deep RL [](https://awesome.re) A curated list of awesome Deep Reinforcement Learning resources. ## Contents - [Libraries](#libraries) - [Benchmark Results](#benchmark-results) - [Environments](#environments) - [Competitions](#competitions) - [Timeline](#timeline) - [Books](#books) - [Tutorials](#tutorials) - [Blog](#blogs) ## Libraries - [AgileRL](https://github.com/AgileRL/AgileRL) - A Deep Reinforcement Learning library focused on improving development by introducing RLOps - MLOps for reinforcement learning. - [Berkeley Ray RLLib](https://github.com/ray-project/ray) - An open-source library for reinforcement learning that offers both high scalability and a unified API for a variety of applications. - [Berkeley Softlearning](https://github.com/rail-berkeley/softlearning) - A reinforcement learning framework for training maximum entropy policies in continuous domains. - [Catalyst](https://github.com/catalyst-team/catalyst) - Accelerated DL & RL. - [ChainerRL](https://github.com/chainer/chainerrl) - A deep reinforcement learning library built on top of Chainer. - [DeepMind Acme](https://github.com/deepmind/acme) - A research framework for reinforcement learning. - [DeepMind OpenSpiel](https://github.com/deepmind/open_spiel) - A collection of environments and algorithms for research in general reinforcement learning and search/planning in games. - [DeepMind TRFL](https://github.com/deepmind/trfl) - TensorFlow Reinforcement Learning. - [DeepRL](https://github.com/ShangtongZhang/DeepRL) - Modularized Implementation of Deep RL Algorithms in PyTorch. - [DeepX machina](https://github.com/DeepX-inc/machina) - A library for real-world Deep Reinforcement Learning which is built on top of PyTorch. - [d3rlpy](https://github.com/takuseno/d3rlpy) - An offline deep reinforcement learning library. - [Facebook ELF](https://github.com/pytorch/ELF) - A platform for game research with AlphaGoZero/AlphaZero reimplementation. - [Facebook ReAgent](https://github.com/facebookresearch/ReAgent) - A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.) - [garage](https://github.com/rlworkgroup/garage) - A toolkit for reproducible reinforcement learning research. - [Google Dopamine](https://github.com/google/dopamine) - A research framework for fast prototyping of reinforcement learning algorithms. - [Google TF-Agents](https://github.com/tensorflow/agents) - TF-Agents is a library for Reinforcement Learning in TensorFlow. - [K-Scale Labs - ksim](https://github.com/kscalelabs/ksim) - A modular and easy-to-use framework for training policies in simulation. - [K-Scale Labs - ksim-gym](https://github.com/kscalelabs/ksim-gym) - K-Sim Gym: Making robots useful with RL. Built on top of K-Sim. - [MAgent](https://github.com/geek-ai/MAgent) - A Platform for Many-agent Reinforcement Learning. - [Maze](https://github.com/enlite-ai/maze) - Application-oriented deep reinforcement learning framework addressing real-world decision problems. - [MushroomRL](https://github.com/MushroomRL/mushroom-rl) - Python library for Reinforcement Learning experiments. - [NervanaSystems coach](https://github.com/NervanaSystems/coach) - Reinforcement Learning Coach by Intel AI Lab. - [OpenAI Baselines](https://github.com/openai/baselines) - High-quality implementations of reinforcement learning algorithms. - [OpenRL](https://github.com/OpenRL-Lab/openrl) - An open-source general reinforcement learning research framework. - [pytorch-a2c-ppo-acktr-gail](https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail) - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL). - [pytorch-rl](https://github.com/navneet-nmk/pytorch-rl) - Model-free deep reinforcement learning algorithms implemented in Pytorch. - [reaver](http
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5360f2d906c8eab1, topic:reinforcement-learning, topic:deep-reinforcement-learning, desc:reinforcement learning
matched fp:5360f2d906c8eab1, topic:awesome-list, desc:curated list