ikostrikov/pytorch-a2c-ppo-acktr-gail
A PyTorch implementation of A2C, PPO, ACKTR, and GAIL reinforcement learning algorithms.

Velocity · 7d
+1.2
★ / day
Trend
→steady
star history
This repository provides PyTorch implementations of four deep reinforcement learning algorithms: Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), ACKTR using Kronecker-factored approximation, and Generative Adversarial Imitation Learning (GAIL). The implementation supports Atari, MuJoCo, PyBullet, and Roboschool environments via OpenAI Gym. It serves as a research-grade RL training codebase inspired by OpenAI baselines.