osigaud
I'm Professor in Computer Science and a machine learning researcher at ISIR, a robotics lab of Sorbonne University, Paris, France
UPMC - CNRSParis, France
Pinned Repositories
ArmModelPython
2 links planar arm with 6 muscles in python
Basic-Policy-Gradient-Labs
A repo to design basic Policy Gradient labs
bbrl
A lightweight RL library inspired from salina
bbrl2
The gymnasium compatible version of BBRL
bbrl_algos
bbrl_examples
Examples of reinforcement learning codes using the bbrl library
bbrl_gym
rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
rl_labs_notebooks
Labs for understanding and coding Standard Reinforcement Learning concepts
SimpleMazeMDP
osigaud's Repositories
osigaud/rl_labs_notebooks
Labs for understanding and coding Standard Reinforcement Learning concepts
osigaud/bbrl
A lightweight RL library inspired from salina
osigaud/Basic-Policy-Gradient-Labs
A repo to design basic Policy Gradient labs
osigaud/SimpleMazeMDP
osigaud/rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
osigaud/ArmModelPython
2 links planar arm with 6 muscles in python
osigaud/bbrl2
The gymnasium compatible version of BBRL
osigaud/bbrl_algos
osigaud/bbrl_examples
Examples of reinforcement learning codes using the bbrl library
osigaud/bbrl_gym
osigaud/rex-gym
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
osigaud/salina
a Lightweight library for sequential learning agents, including reinforcement learning
osigaud/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
osigaud/gym
A toolkit for developing and comparing reinforcement learning algorithms.
osigaud/osigaud.github.io
Build a Jekyll blog in minutes, without touching the command line.
osigaud/Prioritized-Memory-Access
Prioritized Memory Access
osigaud/regressionLabs
Simple regression labs to approximate a one-dimensional function