Benchmarking for Bayesian Reinforcement Learning

14 Sep 2015Michael CastronovoDamien ErnstAdrien CouetouxRaphael Fonteneau

In the Bayesian Reinforcement Learning (BRL) setting, agents try to maximise the collected rewards while interacting with their environment while using some prior knowledge that is accessed beforehand. Many BRL algorithms have already been proposed, but even though a few toy examples exist in the literature, there are still no extensive or rigorous benchmarks to compare them... (read more)

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