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发表论文5 篇

平均评分5.6

年均产出1.7 篇/年

Philip Amortila

Postdoc@University of California, Berkeley·美国·OpenReview

研究方向

reinforcement learning · learning theory

A Unifying View of Coverage in Linear Off-policy Evaluation

ICLR 2026Poster

Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol

NeurIPS 2025Poster

Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol

ICML 2025Rejected

合作者 (11)

博士导师5 篇

Akshay Krishnamurthy

Shivangi Agarwal