Rowan Thomas McAllister

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 7

Top Topics

Invariant Representations

Reinforcement Learning

Active Sampling

Top Venues

Publications

Fernando Castañeda, Haruki Nishimura, Rowan Thomas McAllister, Koushil Sreenath, Adrien Gaidon
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States. L4DC (2023)
Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister, Adrien Gaidon, Yarin Gal
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? CoRR (2023)
Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister, Adrien Gaidon, Yarin Gal
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? CLeaR (2023)
Blake Wulfe, Logan Michael Ellis, Jean Mercat, Rowan Thomas McAllister, Adrien Gaidon
Dynamics-Aware Comparison of Learned Reward Functions. ICLR (2022)
Haruki Nishimura, Jean Mercat, Blake Wulfe, Rowan Thomas McAllister, Adrien Gaidon
RAP: Risk-Aware Prediction for Robust Planning. CoRL (2022)
Charles Packer, Nicholas Rhinehart, Rowan Thomas McAllister, Matthew A. Wright, Xin Wang, Jeff He, Sergey Levine, Joseph E. Gonzalez
Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty. CoRL (2022)
Amy Zhang, Rowan Thomas McAllister, Roberto Calandra, Yarin Gal, Sergey Levine
Learning Invariant Representations for Reinforcement Learning without Reconstruction. ICLR (2021)