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-based learning of Markov decision processes (extended version).
Martin Tappler
Bernhard K. Aichernig
Giovanni Bacci
Maria Eichlseder
Kim G. Larsen
Published in:
Formal Aspects Comput. (2021)
Keyphrases
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markov decision processes
reinforcement learning
partially observable
state space
learning algorithm
finite state
transition matrices
decision theoretic planning
state abstraction
real time dynamic programming
machine learning
dynamic programming
reinforcement learning algorithms
stochastic games