proximal-policy-optimization topic

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

ChenglongChen

PyTorch C++ Reinforcement Learning

Omegastick

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

MorvanZhou

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

nikhilbarhate99

A PyTorch library for building deep reinforcement learning agents.

cpnota

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

Khrylx

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

zuoxingdong

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

lcswillems

Trading Environment(OpenAI Gym) + PPO(TensorForce)

miroblog

Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)

adik993