Jesse Zhang
CS PhD Candidate
University of Southern California
Biography
Hi! I am a first-year PhD candidate at USC, working with Professor Joseph Lim on tackling problems in deep reinforcement learning for robotics. I completed my undergrad at UC Berkeley, where I worked with Professors Sergey Levine and Dinesh Jayaraman.
Interests
- Deep RL
- Offline Reinforcement Learning
- Transfer Learning
Education
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CS PhD Candidate, 2020 - ?
USC
-
BA in Computer Science, 2016 - 2020
UC Berkeley
Recent News
[1/12/2021] One paper is accepted to ICLR 2021
[10/29/2020] COG is accepted as an oral at NeurIPS 2020 Offline RL Workshop
[10/14/2020] One paper is accepted to CoRL 2020
[8/19/2020] Started my PhD at USC
[6/1/2021] One paper is accepted to ICML 2020
Publications
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Hierarchical Reinforcement Learning by Discovering Intrinsic Options
We propose a hierarchical reinforcement learning method, HIDIO, that can learn task-agnostic options in a self-supervised manner while …
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
Reinforcement learning has been applied to a wide variety of robotics problems, but most of such applications involve collecting data …
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings
Reinforcement learning (RL) in real-world safety-critical target settings like urban driving is hazardous, imperiling the RL agent, …
MobilityNet: Towards A Public Dataset For Multi-Modal Mobility Research
Influencing transportation demand can significantly reduce CO2 emissions. Individual user mobility models are key to influencing demand …
TripAware: Emotional and Informational Approaches to Encourage Sustainable Transportation via Mobile Applications
To combat climate change, we need to change user transportation behavior to be less carbon intensive. Prior work on motivating this …
