C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

List of AI Residency Programs

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

latex template for various conferences, as well as wise-man's overleaf (overleaf is terrible!)

Pytorch implementation on OpenAI's Procgen ppo-baseline, built from scratch.

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …

interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI

Structural implementation of RL key algorithms

Paper list of multi-agent reinforcement learning (MARL)