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Modularized Implementation of Deep RL Algorithms in PyTorch
Created 2017-04-20
480 commits to master branch, last one 7 months ago
172
1.4k
unknown
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Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
Created 2021-11-14
104 commits to main branch, last one 29 days ago
51
401
mit
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Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Created 2020-06-07
436 commits to master branch, last one 3 years ago
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
Created 2020-02-20
58 commits to master branch, last one 3 years ago
Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay
Created 2020-10-08
43 commits to main branch, last one about a year ago
PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and p...
Created 2020-08-12
37 commits to master branch, last one 4 years ago
Pytorch implementation of distributed deep reinforcement learning
Created 2018-10-25
137 commits to master branch, last one 2 years ago
Prioritized Experience Replay implementation with proportional prioritization
Created 2021-08-26
21 commits to main branch, last one about a year ago
强化学习算法库,包含了目前主流的强化学习算法(Value based and Policy based)的代码,代码都经过调试并可以运行
Created 2021-12-01
193 commits to main branch, last one about a year ago
This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algo...
Created 2020-07-09
86 commits to master branch, last one 3 years ago