Minimax-Bayes Reinforcement Learning

1 code implementation • 21 Feb 2023 • Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge

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.

Decision Making Decision Making Under Uncertainty +2

Adaptive Belief Discretization for POMDP Planning

1 code implementation • 15 Apr 2021 • Divya Grover, Christos Dimitrakakis

We instead propose an adaptive belief discretization scheme, and give its associated planning error.

Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning

no code implementations • NeurIPS Workshop ICBINB 2020 • Hannes Eriksson, Emilio Jorge, Christos Dimitrakakis, Debabrota Basu, Divya Grover

Bayesian reinforcement learning (BRL) offers a decision-theoretic solution for reinforcement learning.

reinforcement-learning Reinforcement Learning (RL)

Bayesian Reinforcement Learning via Deep, Sparse Sampling

1 code implementation • 7 Feb 2019 • Divya Grover, Debabrota Basu, Christos Dimitrakakis

We address the problem of Bayesian reinforcement learning using efficient model-based online planning.

Efficient Exploration reinforcement-learning +1