Anthony Liang

20212022202320243 3 11 6

Jesse ThomasonAssistant Professor, University of Southern CaliforniaVerified email at usc.edu
Ishika SinghCS PhD student, USCVerified email at usc.edu
Wilka CarvalhoHarvardVerified email at g.harvard.edu
Karl PertschUC Berkeley, Stanford UniversityVerified email at berkeley.edu
Erdem BıyıkAssistant Professor, University of Southern CaliforniaVerified email at usc.edu
Craig BoutilierPrincipal Scientist, GoogleVerified email at google.com
Guy TennenholtzResearch Scientist, Google ResearchVerified email at google.com
Yinlam ChowResearch Scientist, Google ResearchVerified email at google.com

Anthony Liang

Verified email at usc.edu - Homepage


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Reinforcement learning for sparse-reward object-interaction tasks in a first-person simulated 3d environment W Carvalho, A Liang, K Lee, S Sohn, H Lee, RL Lewis, S Singh arXiv preprint arXiv:2010.15195, 2020	12	2020
Transformer adapters for robot learning A Liang, I Singh, K Pertsch, J Thomason CoRL 2022 Workshop on Pre-training Robot Learning, 2022	7	2022
Visarl: Visual reinforcement learning guided by human saliency A Liang, J Thomason, E Bıyık arXiv preprint arXiv:2403.10940, 2024	2	2024
Self-Supervised 3D Representation Learning for Robotics I Singh, A Liang, M Shridhar, J Thomason ICRA2023 Workshop on Pretraining for Robotics (PT4R), 2023	2	2023
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning A Liang, G Tennenholtz, C Hsu, Y Chow, E Bıyık, C Boutilier arXiv preprint arXiv:2402.15957, 2024		2024
ROMA: A Relational, Object-Model Learning Agent for Sample-Efficient Reinforcement Learning W Carvalho, A Liang, K Lee, S Sohn, H Lee, RL Lewis, S Singh
Drift-Aware Predictive Coding for Adaptation in Changing Environments H Wang, Z Bian, R Guo, A Liang, M Yang

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