Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
Dibya Ghosh, Jad Rahme, Aviral Kumar, Amy Zhang, Ryan P. Adams, Sergey Levine
People
PhD Student
I am a PhD candidate at McGill University in the Reasoning and Learning Lab supervised by Joelle Pineau and a Researcher at Meta Artificial Intelligence Research. I hold dual B.S. degrees in EECS and math, and an M.Eng. in EECS from MIT. I previously did research in computer vision, privacy-preserving recommendation, and network coding. I am also a board member of Women in Machine Learning.
I work on state abstractions and deep reinforcement learning, with a focus on model-based methods and generalization.
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