PyTorch Community Voices | rlstructures| Ludovic Denoyer

Join us for an interview with star PyTorch community member Ludovic Denoyer as we learn about rlstructures, a library to facilitate the implementation of new reinforcement learning algorithms. It is a lightweight Python library that provides simple APIs as well as data structures that make as few assumptions as possible about the structure of your agent or your task, while allowing for transparently executing multiple policies on multiple environments in parallel (incl. multiple GPUs). It thus facilitates the implementation of RL algorithms while avoiding complex abstractions.

0:00 Starting soon
0:13 Livestream start/Intros
2:32 rlstructures Presentation
28:11 Q&As

——- Project Links ——-

GitHub: https://github.com/facebookresearch/rlstructures
Tutorials: https://ludovic-denoyer.medium.com/
Docs: https://facebookresearch.github.io/rlstructures/
Discussion Group: https://www.facebook.com/groups/834804787067021
Poster: https://assets.pytorch.org/pted2021/posters/D2.png

——- Social Accounts ——-

Ludovic Denoyer: https://twitter.com/LudovicDenoyer
Suraj Subramanian: https://twitter.com/subramen
Jessica Lin: https://twitter.com/hey_its_jlin

PyTorch: https://twitter.com/PyTorch
Facebook Open Source Twitter: http://twitter.com/fbOpenSource

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