VariBAD: variational bayes-adaptive deep RL via meta-learning

VariBAD: variational bayes-adaptive deep RL via meta-learning

Trading off exploration and exploitation in an unknown environment is key to maximising expected online return during learning. A Bayes-optimal policy, which does so optimally, conditions its actions not only on the environment state but also on the agent's uncertainty about the environment. Co...

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Bibliografiske detaljer
Hovedforfatter:	Whiteson, S
Format:	Journal article
Sprog:	English
Udgivet:	Journal of Machine Learning Research 2021

Lignende værker

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