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352

1.7k

mit

9

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

ppo pytorch ppo-pytorch deep-learning policy-gradient pytorch-tutorial pytorch-implmention reinforcement-learning deep-reinforcement-learning proximal-policy-optimization reinforcement-learning-algorithms

Created 2018-09-27

98 commits to master branch, last one 11 months ago

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

15

140

unknown

5

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

a2c ppo gail pytorch gail-ppo ppo-algo ppo-pytorch deep-learning recurrent-ppo policy-gradient imitation-learning advantage-actor-critic reinforcement-learning deep-reinforcement-learning proximal-policy-optimization

Created 2020-05-04

89 commits to master branch, last one 3 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 23 days ago