GEM: Group Enhanced Model for Learning Dynamical Control Systems. - Philippe Hansen-Estruch; Wenling Shang; Lerrel Pinto; Pieter Abbeel; Stas Tiomkin (CoRR, 2021)

Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning. - Philippe Hansen-Estruch; Amy Zhang 001; Ashvin Nair; Patrick Yin; Sergey Levine (ICML, 2022)

Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. - Vivek Myers; Andre Wang He; Kuan Fang; Homer Rich Walke; Philippe Hansen-Estruch; Ching-An Cheng; Mihai Jalobeanu; Andrey Kolobov; Anca D. Dragan; Sergey Levine (CoRL, 2023)

BridgeData V2: A Dataset for Robot Learning at Scale. - Homer Rich Walke; Kevin Black; Tony Z. Zhao; Quan Vuong; Chongyi Zheng; Philippe Hansen-Estruch; Andre Wang He; Vivek Myers; Moo Jin Kim; Max Du; Abraham Lee; Kuan Fang; et al. (CoRL, 2023)

IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies. - Philippe Hansen-Estruch; Ilya Kostrikov; Michael Janner; Jakub Grudzien Kuba; Sergey Levine (CoRR, 2023)

D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning. - Rafael Rafailov; Kyle Beltran Hatch; Anikait Singh; Aviral Kumar; Laura M. Smith; Ilya Kostrikov; Philippe Hansen-Estruch; Victor Kolev; Philip J. Ball; Jiajun Wu 001; Sergey Levine; Chelsea Finn (RLJ, 2024)

Unified Auto-Encoding with Masked Diffusion. - Philippe Hansen-Estruch; Sriram Vishwanath; Amy Zhang 001; Manan Tomar (CoRR, 2024)

Video Occupancy Models. - Manan Tomar; Philippe Hansen-Estruch; Philip Bachman; Alex Lamb; John Langford 001; Matthew E. Taylor; Sergey Levine (CoRR, 2024)

Apollo: An Exploration of Video Understanding in Large Multimodal Models. - Orr Zohar; Xiaohan Wang; Yann Dubois; Nikhil Mehta 002; Tong Xiao; Philippe Hansen-Estruch; Licheng Yu; Xiaofang Wang; Felix Juefei-Xu; Ning Zhang; Serena Yeung-Levy; Xide Xia (CVPR, 2025)

Learnings from Scaling Visual Tokenizers for Reconstruction and Generation. - Philippe Hansen-Estruch; David Yan; Ching-Yao Chung; Orr Zohar; Jialiang Wang 001; Tingbo Hou; Tao Xu; Sriram Vishwanath; Peter Vajda; Xinlei Chen (CoRR, 2025)