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Anthony Liang
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Transformer adapters for robot learning
A Liang, I Singh, K Pertsch, J Thomason
CoRL 2022 Workshop on Pre-training Robot Learning, 2022
112022
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
112020
ViSaRL: Visual Reinforcement Learning Guided by Human Saliency
A Liang, J Thomason, E Bıyık
arXiv preprint arXiv:2403.10940, 2024
22024
Self-supervised 3d representation learning for robotics
I Singh, A Liang, M Shridhar, J Thomason
ICRA2023 Workshop on Pretraining for Robotics (PT4R), 2023
22023
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
In-Context Generalization to New Tasks From Unlabeled Observation Data
A Liang, P Czempin, Y Zhou, S Tu, E Biyik
ICML 2024 Workshop on In-Context Learning, 0
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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Articles 1–8