Andrew Shen

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 8

Top Topics

Artificial Intelligence And Machine Learning

Function Approximation

Top Venues

Publications

Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia P. Sycara
Characterizing Out-of-Distribution Error via Optimal Transport. NeurIPS (2023)
Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia P. Sycara
Characterizing Out-of-Distribution Error via Optimal Transport. CoRR (2023)
Yecheng Jason Ma, Andrew Shen, Osbert Bastani, Dinesh Jayaraman
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning. AAAI (2022)
Yecheng Jason Ma, Andrew Shen, Dinesh Jayaraman, Osbert Bastani
SMODICE: Versatile Offline Imitation Learning via State Occupancy Matching. CoRR (2022)
Yecheng Jason Ma, Andrew Shen, Dinesh Jayaraman, Osbert Bastani
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching. ICML (2022)
Yecheng Jason Ma, Andrew Shen, Osbert Bastani, Dinesh Jayaraman
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning. CoRR (2021)
Andrew Shen, Yu Sun
GraphicalAI: A User-Centric Approach to Develop Artificial Intelligence and Machine Learning Applications using a Visual and Graphical Language. DSDE (2021)
Aditya Saligrama, Andrew Shen, Jon Gjengset
A Practical Analysis of Rust's Concurrency Story. CoRR (2019)