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20162026
most citedExtrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations

30 citations · 115 across the 51 of their papers we have counts for

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Showing 2025 · cs.AIShow all

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cs.AI2025

Evaluation-Aware Reinforcement Learning

Shripad Vilasrao Deshmukh, Will Schwarzer, Scott Niekum

Policy evaluation is a core component of many reinforcement learning (RL) algorithms and a critical tool for ensuring safe deployment of RL policies. However, existing policy evalu…

cs.AI2025

A Descriptive and Normative Theory of Human Beliefs in RLHF

Sylee Dandekar, Shripad Deshmukh, Frank Chiu +2

Human preferences in RLHF are typically modeled as a function of the human's reward function or corresponding optimal state-action values. In this work, we propose that human belie…