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High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Created 2019-06-07
832 commits to master branch, last one 6 days ago
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) ...
Created 2017-08-22
274 commits to master branch, last one 2 years ago
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
Created 2018-05-09
244 commits to master branch, last one about a year ago
Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"
Created 2019-01-19
8 commits to master branch, last one 3 years ago
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Created 2019-04-07
25 commits to master branch, last one 2 years ago
PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
Created 2020-05-04
89 commits to master branch, last one 3 years ago
Curiosity-driven Exploration by Self-supervised Prediction
Created 2018-11-23
12 commits to master branch, last one about a year ago
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[ICRA 2023] Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
Created 2023-02-18
9 commits to main branch, last one about a year ago