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发表论文5 篇

平均评分5.9

年均产出2.5 篇/年

Jesse Farebrother

Research Scientist Intern@Meta·法国·OpenReview

研究方向

Reinforcement learning · Deep learning · Temporal representations

Temporal Difference Flows

Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models

ICLR 2025Poster

Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching

ICLR 2025Poster

A Distributional Analogue to the Successor Representation

ICLR 2024Rejected

Foundations of Multivariate Distributional Reinforcement Learning

NeurIPS 2024Poster

合作者 (19)

Alessandro Lazaric

Andrea Tirinzoni

Anssi Kanervisto