Amy Zhang
Amy Zhang shares her work on Invariant Causal Prediction for Block MDPs, Multi-Task Reinforcement Learning with Context-based Representations, MBRL-Lib, shares insight on generalization on RL, and more!
Amy Zhang is a postdoctoral scholar at UC Berkeley and a research scientist at Facebook AI Research. She will be starting as an assistant professor at UT Austin in Spring 2023.
Featured References
Invariant Causal Prediction for Block MDPs
Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup
Multi-Task Reinforcement Learning with Context-based Representations
Shagun Sodhani, Amy Zhang, Joelle Pineau
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning
Luis Pineda, Brandon Amos, Amy Zhang, Nathan O. Lambert, Roberto Calandra
Additional References
Featured References
Invariant Causal Prediction for Block MDPs
Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup
Multi-Task Reinforcement Learning with Context-based Representations
Shagun Sodhani, Amy Zhang, Joelle Pineau
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning
Luis Pineda, Brandon Amos, Amy Zhang, Nathan O. Lambert, Roberto Calandra
Additional References
- Amy Zhang - Exploring Context for Better Generalization in Reinforcement Learning @ UCL DARK
- ICML 2020 Poster session: Invariant Causal Prediction for Block MDPs
- Clare Lyle - Invariant Prediction for Generalization in Reinforcement Learning @ Simons Institute
Creators and Guests
Host
Robin Ranjit Singh Chauhan
๐ฑ Head of Eng @AgFunder ๐ง AI:Reinforcement Learning/ML/DL/NLP๐๏ธHost @TalkRLPodcast ๐ณ ex-@Microsoft ecomm PgmMgr ๐ค @UWaterloo CompEng ๐จ๐ฆ ๐ฎ๐ณ
