Jason Yan

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 6

Top Topics

Classification And Regression Problems

Bibliometric Analysis

Reinforcement Learning

Top Venues

Publications

Yecheng Jason Ma, Kausik Sivakumar, Jason Yan, Osbert Bastani, Dinesh Jayaraman
TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching. CoRR (2023)
Yecheng Jason Ma, Kausik Sivakumar, Jason Yan, Osbert Bastani, Dinesh Jayaraman
Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching. L4DC (2023)
Aparna Ananthasubramaniam, Hong Chen, Jason Yan, Kenan Alkiek, Jiaxin Pei, Agrima Seth, Lavinia Dunagan, Minje Choi, Benjamin Litterer, David Jurgens
Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics. CoRR (2023)
Yecheng Jason Ma, Jason Yan, Dinesh Jayaraman, Osbert Bastani
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression. CoRR (2022)
Yecheng Jason Ma, Jason Yan, Dinesh Jayaraman, Osbert Bastani
Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression. NeurIPS (2022)
Jason Yan, Melanie Sage, Seventy F. Hall, Yuhao Du, Kenneth Joseph
A Computational Social Science Approach to Understanding Predictors of Chafee Service Receipt. CoRR (2021)