Edan Toledo

Stoix. 🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL

Stoa. A JAX-Native Interface for Reinforcement Learning Environments

JAX-MAML. Super simple implementation of MAML for RL in JAX

popjym. POPGym Library in JAX

Auctions. Super simple auction environment.

RL-Algorithms. Jupyter Notebooks of minimal Reinforcement Learning Algorithms

EdanToledo.

Robotics-3D-Potential-Fields. Python

Easy21RL. Attempt at the UCL 2015 David Silver Reinforcement Learning Course Assignment