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Proceedings of the Fifth European workshop on Reinforcement Learning

By M.A. Wiering


The Fifth European Workshop on Reinforcement Learning (EWRL-5) has gathered a wide variety of researchers interested in many different topics in reinforcement learning (RL). First of all, several papers describe RL algorithms for solving POMDPs. In this category, there is a paper by Hartley and Wyatt describing using Hidden Markov Models (HMMs), where state splitting is used to learn the right model. A paper by Dutech and Scherrer describes using contextual information for handling POMDPs, and a paper by Bakker describes using LSTM recurrent networks for solving POMDPs

Topics: Wijsbegeerte
Year: 2001
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