- Suggestion of implementations of RL algorithms https://gist.github.com/mateuspontesm/5132df449875125af32412e5c4e73215 14 comments reinforcementlearning
Linked pages
- GitHub - higgsfield/RL-Adventure-2: PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay https://github.com/higgsfield/RL-Adventure-2 20 comments
- GitHub - Officium/RL-Experiments: High-quality implementations of deep reinforcement learning algorithms for experiments https://github.com/Officium/RL-Experiments 14 comments
- GitHub - seungeunrho/minimalRL: Implementations of basic RL algorithms with minimal lines of codes! (pytorch based) https://github.com/seungeunrho/minimalRL 10 comments
- RLgraph: Robust, incrementally testable reinforcement learning | RLgraph https://rlgraph.github.io/rlgraph/2019/01/04/introducing-rlgraph.html 9 comments
- GitHub - MushroomRL/mushroom-rl: Python library for Reinforcement Learning. https://github.com/AIRLab-POLIMI/mushroom 9 comments
- GitHub - hill-a/stable-baselines: A fork of OpenAI Baselines, implementations of reinforcement learning algorithms https://github.com/hill-a/stable-baselines 6 comments
- GitHub - rlcode/reinforcement-learning: Minimal and Clean Reinforcement Learning Examples https://github.com/rlcode/reinforcement-learning 3 comments
- GitHub - csxeba/trickster: Reinforcement learning in TensorFlow 2 https://github.com/csxeba/trickster 0 comments
- GitHub - kengz/SLM-Lab: Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning". https://github.com/kengz/SLM-Lab 0 comments
- GitHub - higgsfield/RL-Adventure: Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL https://github.com/higgsfield/RL-Adventure 0 comments
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