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Yash Satsangi — most-cited papers & profile · Reinforcement Learning
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Yash Satsangi
6
papers ·
10
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Maximizing Information Gain in Partially Observable Environments via Prediction Reward
2020 · 4 citations
Useful Policy Invariant Shaping from Arbitrary Advice
2020 · 3 citations
Learning to Be Cautious
2021 · 1 citations
Bandit-Based Policy Invariant Explicit Shaping for Incorporating External Advice in Reinforcement Learning
2023
Top co-authors
Michael Bowling
· 2
Paniz Behboudian
· 2
Alexander Sieusahai
· 1
Anna Harutyunyan
· 1
Dustin Morrill
· 1
Frans Oliehoek
· 1
Martha White
· 1
Matthew E. Taylor
· 1
Montaser Mohammedalamen
· 1
Shimon Whiteson
· 1
Sungsu Lim
· 1
Topics
Exploration
Safe RL
Meta-RL
Policy Gradient
RLHF & Alignment
Value-Based
Model-Based RL