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cs.LG2024
The Limits of Transfer Reinforcement Learning with Latent Low-rank Structure
Tyler Sam, Yudong Chen, Christina Lee Yu
Many reinforcement learning (RL) algorithms are too costly to use in practice due to the large sizes of the problem's state and action space. To resolve this issue, we study…
cs.LG2022
Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure
Tyler Sam, Yudong Chen, Christina Lee Yu
The practicality of reinforcement learning algorithms has been limited due to poor scaling with respect to the problem size, as the sample complexity of learning an -optimal pol…