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cs.LG2023★ 3 cited
Investigating the role of model-based learning in exploration and transfer
Jacob Walker, Eszter Vértes, Yazhe Li +4
State of the art reinforcement learning has enabled training agents on tasks of ever increasing complexity. However, the current paradigm tends to favor training agents from scratc…
cs.LG2023
Evaluating Representations with Readout Model Switching
Yazhe Li, Jorg Bornschein, Marcus Hutter
Although much of the success of Deep Learning builds on learning good representations, a rigorous method to evaluate their quality is lacking. In this paper, we treat the evaluatio…