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Bryan Chan
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 6
Top Topics
Extreme Events
Maximum Margin
Latent Variables
Robust Regression
Top Venues
CoRR
IEEE Robotics Autom. Lett.
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Publications
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Trevor Ablett
,
Bryan Chan
,
Jayce Haoran Wang
,
Jonathan Kelly
Value-Penalized Auxiliary Control from Examples for Learning without Rewards or Demonstrations.
CoRR
(2024)
Trevor Ablett
,
Bryan Chan
,
Jonathan Kelly
Learning from Guided Play: Improving Exploration for Adversarial Imitation Learning with Simple Auxiliary Tasks.
CoRR
(2023)
Trevor Ablett
,
Bryan Chan
,
Jonathan Kelly
Learning From Guided Play: Improving Exploration for Adversarial Imitation Learning With Simple Auxiliary Tasks.
IEEE Robotics Autom. Lett.
8 (3) (2023)
Trevor Ablett
,
Bryan Chan
,
Jonathan Kelly
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning.
CoRR
(2021)
Oliver Limoyo
,
Bryan Chan
,
Filip Maric
,
Brandon Wagstaff
,
A. Rupam Mahmood
,
Jonathan Kelly
Heteroscedastic Uncertainty for Robust Generative Latent Dynamics.
IEEE Robotics Autom. Lett.
5 (4) (2020)
Oliver Limoyo
,
Bryan Chan
,
Filip Maric
,
Brandon Wagstaff
,
A. Rupam Mahmood
,
Jonathan Kelly
Heteroscedastic Uncertainty for Robust Generative Latent Dynamics.
CoRR
(2020)