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Divya Grover

2 accepted papers

2023

Minimax-Bayes Reinforcement Learning

AISTATS 2023poster

While the Bayesian decision-theoretic framework offers an elegant solution to the problem of decision making under uncertainty, one question is how to appropriately select the prior distribution. One idea is to employ a worst-case prior. However, this is not as easy to specify in sequential decision…

2020

Bayesian Reinforcement Learning via Deep, Sparse Sampling

AISTATS 2020poster

We address the problem of Bayesian reinforcement learning using efficient model-based online planning. We propose an optimism-free Bayes-adaptive algorithm to induce deeper and sparser exploration with a theoretical bound on its performance relative to the Bayes optimal as well as lower computationa…