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177

1.1k

mit

6

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

ppo-gru pytorch ppo-lstm dqn-pytorch ppo-pytorch rainbow-dqn sac-pytorch td3-pytorch ddpg-pytorch reinforcement-learning

Created 2022-03-23

163 commits to main branch, last one about a year ago

72

646

mit

23

A PyTorch library for building deep reinforcement learning agents.

a2c dqn ppo sac ddpg dqn-pytorch deep-q-learning soft-actor-critic advantage-actor-critic reinforcement-learning deep-reinforcement-learning proximal-policy-optimization reinforcement-learning-algorithms deep-deterministic-policy-gradient

Created 2018-11-07

300 commits to develop branch, last one 8 months ago

28

74

mit

3

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

python pytorch molecule chemistry pytorch-rl dqn-pytorch deep-learning drug-discovery inverse-design machine-learning materials-science materials-informatics pytorch-implementation reinforcement-learning

Created 2019-10-19

27 commits to master branch, last one 3 years ago

15

72

unknown

5

Deep Q-Learning (DQN) implementation for Atari pong.

dqn pong atari pytorch dqn-pytorch machine-learning reinforcement-learning

Created 2019-09-26

18 commits to master branch, last one 5 years ago

4

63

mit

2

A Torch Based RL Framework for Rapid Prototyping of Research Papers

dqn ppo sac td3 ddpg dqn-pytorch dueling-dqn ppo-pytorch sac-pytorch td3-pytorch actor-critic ddpg-pytorch dueling-ddqn soft-actor-critic dueling-dqn-pytorch dueling-network-architecture proximal-policy-optimization twin-delayed-policy-gradient prioritized-experience-replay

Created 2023-04-10

72 commits to master branch, last one 22 days ago