Publications

Jesse Zhang, Haonan Yu, Wei Xu (2021). Hierarchical Reinforcement Learning by Discovering Intrinsic Options. ICLR 2021.

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Avi Singh, Albert Yu, Jonathan Yang, Jesse Zhang, Aviral Kumar, Sergey Levine (2020). COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning. CoRL 2020.

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Jesse Zhang, Brian Cheung, Chelsea Finn, Sergey Levine, Dinesh Jayaraman (2020). Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings. ICML 2020.

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Kalyanaraman Shankari, Jonathan Fuerst, Mauricio Fadel Argerich, Eleftherios Avramidis, Jesse Zhang (2020). MobilityNet: Towards A Public Dataset For Multi-Modal Mobility Research. ICLR 2020 Climate Change AI Workshop.

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Jesse Zhang, John Sullivan, Vasudev Venkatesh PB, Kyle Tse, Andy Yan, John Leyden, Kalyanaraman Shankari, Randy H Katz (2019). TripAware: Emotional and Informational Approaches to Encourage Sustainable Transportation via Mobile Applications. Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation.

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Brian Yang, Jesse Zhang, Vitchyr Pong, Sergey Levine, Dinesh Jayaraman (2019). Replab: A reproducible low-cost arm benchmark platform for robotic learning. ICRA 2019.

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Daiyaan Arfeen, Jesse Zhang (2019). Unsupervised Projection Networks for Generative Adversarial Networks. ICCV 2019: Sensing, Understanding and Synthesizing Humans.

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Jesse Zhang, Robert Ford (2013). An example conference paper. In ICW.

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