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Edan Toledo

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@EdanToledo

PhD Student | FAIR | UCL

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

416

Stoa. A JAX-Native Interface for Reinforcement Learning Environments

10

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

4

popjym. POPGym Library in JAX

4

Auctions. Super simple auction environment.

3

RL-Algorithms. Jupyter Notebooks of minimal Reinforcement Learning Algorithms

2

EdanToledo.

2

Robotics-3D-Potential-Fields. Python

1

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

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