Lipschitz Lifelong Reinforcement Learning

We consider the problem of knowledge transfer when an agent is facing a series of Reinforcement Learning (RL) tasks. We introduce a novel metric between Markov Decision Processes (MDPs) and establish that close MDPs have close optimal value functions. Formally, the optimal value functions are Lipsch...

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Bibliographische Detailangaben

Hauptverfasser:	Lecarpentier, Erwan, Abel, David, Asadi, Kavosh, Jinnai, Yuu, Rachelson, Emmanuel, Littman, Michael L
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning Statistics - Machine Learning
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