Search Results for author: Frans Oliehoek

Found 3 papers, 1 papers with code

Maximizing Information Gain in Partially Observable Environments via Prediction Reward

no code implementations11 May 2020 Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans Oliehoek, Martha White

Information gathering in a partially observable environment can be formulated as a reinforcement learning (RL), problem where the reward depends on the agent's uncertainty.

Question Answering

Bayesian Reinforcement Learning in Factored POMDPs

no code implementations14 Nov 2018 Sammie Katt, Frans Oliehoek, Christopher Amato

Bayesian approaches provide a principled solution to the exploration-exploitation trade-off in Reinforcement Learning.

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