policy-gradient topic

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

JasonYao81000

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

nikhilbarhate99

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

bentrevett

Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017

tsenghungchen

Implementations of Reinforcement Learning Models in Tensorflow

yukezhu

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

RITCHIEHuang

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Khrylx

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

AgentMaker

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

germain-hug

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

zuoxingdong