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Yao Mark Mu

2 accepted papers

2022

CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer

ICML 2022spotlight

Transformer has achieved great successes in learning vision and language representation, which is general across various downstream tasks. In visual control, learning transferable state representation that can transfer between different control tasks is important to reduce the training sample size.…

2022

Flow-based Recurrent Belief State Learning for POMDPs

ICML 2022spotlight

Partially Observable Markov Decision Process (POMDP) provides a principled and generic framework to model real world sequential decision making processes but yet remains unsolved, especially for high dimensional continuous space and unknown models. The main challenge lies in how to accurately obtain…

Cited by 25SourcePDFScholar