Self-study on Larry Wasserman's "All of Statistics"

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

[NeurIPS 2019] Deep Leakage From Gradients https://arxiv.org/abs/1906.08935

A curated list of awesome Model-based reinforcement learning resources

another BibTeX-to-HTML (with Jinja2 templates)

Flight rules for git

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

A list of awesome resources for tmux

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

ThesisUESTC-电子科技大学毕业论文模板

A toolkit for developing and comparing reinforcement learning algorithms.

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Minimal and Clean Reinforcement Learning Examples

Using Keras and Deep Deterministic Policy Gradient to play TORCS