Rocky Duan

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

A toolkit for reproducible reinforcement learning research.

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"