- Have you used any good DRL library? https://github.com/wwxFromTju/awesome-reinforcement-learning-lib 19 comments reinforcementlearning
Linked pages
- GitHub - google-research/seed_rl: SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture. https://github.com/google-research/seed_rl 20 comments
- GitHub - pytorch/rl: A modular, primitive-first, python-first PyTorch library for Reinforcement Learning. https://github.com/facebookresearch/rl 18 comments
- GitHub - deepmind/acme: A library of reinforcement learning components and agents https://github.com/deepmind/acme 13 comments
- GitHub - p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch: PyTorch implementations of deep reinforcement learning algorithms and environments https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch 9 comments
- GitHub - trackmania-rl/tmrl: Reinforcement Learning for real-time applications - host of the TrackMania Roborace League https://github.com/trackmania-rl/tmrl 8 comments
- GitHub - deepmind/open_spiel: OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games. https://github.com/deepmind/open_spiel 8 comments
- GitHub - 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). https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail 7 comments
- GitHub - NVlabs/cule: CuLE: A CUDA port of the Atari Learning Environment (ALE) https://github.com/NVlabs/cule 6 comments
- GitHub - datamllab/rlcard: Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO. https://github.com/datamllab/rlcard 6 comments
- GitHub - medipixel/rl_algorithms: Structural implementation of RL key algorithms https://github.com/medipixel/rl_algorithms 5 comments
- GitHub - AI4Finance-Foundation/ElegantRL: Cloud-native deep reinforcement learning. 🔥 https://github.com/AI4Finance-Foundation/ElegantRL 4 comments
- [2106.13281] Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation https://arxiv.org/abs/2106.13281 3 comments
- GitHub - openai/baselines: OpenAI Baselines: high-quality implementations of reinforcement learning algorithms https://github.com/openai/baselines 3 comments
- GitHub - NVlabs/GA3C: Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning. https://github.com/NVlabs/GA3C 3 comments
- GitHub - google/dopamine: Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. https://github.com/google/dopamine 1 comment
- GitHub - deepmind/scalable_agent: A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures. https://github.com/deepmind/scalable_agent 1 comment
- GitHub - vwxyzjn/cleanrl: High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG) https://github.com/vwxyzjn/cleanrl 1 comment
- [2206.10558] EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine https://arxiv.org/abs/2206.10558 1 comment
- GitHub - SforAiDl/genrl: A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL https://github.com/SforAiDl/genrl 1 comment
- GitHub - google-research/rlds https://github.com/google-research/rlds 1 comment
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