Search Results for author: Jason Yan

Found 3 papers, 1 papers with code

TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching

no code implementations22 May 2023 Yecheng Jason Ma, Kausik Sivakumar, Jason Yan, Osbert Bastani, Dinesh Jayaraman

Standard model-based reinforcement learning (MBRL) approaches fit a transition model of the environment to all past experience, but this wastes model capacity on data that is irrelevant for policy improvement.

Model-based Reinforcement Learning reinforcement-learning

How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression

1 code implementation7 Jun 2022 Yecheng Jason Ma, Jason Yan, Dinesh Jayaraman, Osbert Bastani

Offline goal-conditioned reinforcement learning (GCRL) promises general-purpose skill learning in the form of reaching diverse goals from purely offline datasets.

regression reinforcement-learning +1

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