Isaac Gym Reinforcement Learning Environments

[ICLR 2022] Accelerated Policy Learning with Parallel Differentiable Simulation

Sim-to-real RL training and deployment tools for the Unitree B1, Go1, and Go2 robots.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

Azure storage support for Lokad.ContentAddr

A small clone of 1024 (https://play.google.com/store/apps/details?id=com.veewo.a1024)

My L3 presentation of my summer research internship at INRIA on reinforcement learning

The most french java parser