4 citations · 4 across the 1 of their papers we have counts for
3 papers
Adaptive Belief Discretization for POMDP Planning
Divya Grover, Christos Dimitrakakis
Partially Observable Markov Decision Processes (POMDP) is a widely used model to represent the interaction of an environment and an agent, under state uncertainty. Since the agent…
Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning
Hannes Eriksson, Emilio Jorge, Christos Dimitrakakis +2
Bayesian reinforcement learning (BRL) offers a decision-theoretic solution for reinforcement learning. While "model-based" BRL algorithms have focused either on maintaining a poste…
Bayesian Reinforcement Learning via Deep, Sparse Sampling
Divya Grover, Debabrota Basu, Christos Dimitrakakis
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 spa…