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Michael Gimelfarb — most-cited papers & profile · Reinforcement Learning
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Michael Gimelfarb
6
papers ·
21
citations
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Most-cited papers
ε-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning
2020 · 11 citations
Risk-Aware Transfer in Reinforcement Learning using Successor Features
2021 · 9 citations
Contextual Policy Transfer in Reinforcement Learning Domains via Deep Mixtures-of-Experts
2020 · 1 citations
RAPTOR: End-to-end Risk-Aware MDP Planning and Policy Learning by Backpropagation
2021
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization
2022
Constraint-Generation Policy Optimization (CGPO): Nonlinear Programming for Policy Optimization in Mixed Discrete-Continuous MDPs
2024
Top co-authors
Scott Sanner
· 6
Chi-Guhn Lee
· 3
Andr\'e Barreto
· 1
Ayal Taitler
· 1
Baher Abdulhai
· 1
Hyunwoo Kim
· 1
Jihwan Jeong
· 1
Jihwan Jeong
· 1
Noah Patton
· 1
Xiaoyu Wang
· 1
Topics
Model-Based RL
Safe RL
Value-Based
Meta-RL
Offline RL
Policy Gradient
Exploration