Reactive Reinforcement Learning in Asynchronous Environments

The relationship between a reinforcement learning (RL) agent and an asynchronous environment is often ignored. Frequently used models of the interaction between an agent and its environment, such as Markov Decision Processes (MDP) or Semi-Markov Decision Processes (SMDP), do not capture the fact tha...

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Sparad:
Bibliografiska uppgifter
I publikationen:Front Robot AI
Huvudupphovsmän: Travnik, Jaden B., Mathewson, Kory W., Sutton, Richard S., Pilarski, Patrick M.
Materialtyp: Artigo
Språk:Inglês
Publicerad: Frontiers Media S.A. 2018
Ämnen:
Robotics and AI
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC7805616/
https://ncbi.nlm.nih.gov/pubmed/33500958
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frobt.2018.00079
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