Tyler Sam

The Limits of Transfer Reinforcement Learning with Latent Low-rank Structure

Many reinforcement learning (RL) algorithms are too costly to use in practice due to the large sizes $S,A$ of the problem's state and action space. To resolve this issue, we study transfer RL with latent low rank structure. We consider the problem of transferring a latent low rank representation whe…