PhD candidate in Reinforcement Learning @ Inria Scool (ex SequeL) / Saint-Gobain Research. Jax enthusiast.
PlaneModel. PlaneModel environment for RL
25easygrid. Gym environment of simple microgrid simulation for Reinforcement Learning
10TargetGym. TargetGym: Fast Setpoint tracking environments in Jax.
7CaptAIn_v2. Python
4ProbingEnvironments. Probing environments for unit testing of RL/DeepRL algorithms
3Ajax. End-To-End Jax Deep RL agents, including average-reward versions
3jaxppo. Python
1hackathon_RL_XHEC_2020. Python
1stable-baselines3. PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
1PymgridExperiments. Research experiments of RL agents on Pymgrid
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