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Compositional Reasoning for Interval Markov Decision Processes.
Vahid Hashemi
Holger Hermanns
Andrea Turrini
Published in:
CoRR (2016)
Keyphrases
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markov decision processes
state space
optimal policy
transition matrices
finite state
policy iteration
reinforcement learning
reachability analysis
dynamic programming
decision theoretic planning
finite horizon
infinite horizon
reinforcement learning algorithms
factored mdps
knowledge base
risk sensitive
decision processes
average reward
planning under uncertainty
markov decision process
average cost
action space
state and action spaces
markov decision problems
probabilistic planning
action sets
reasoning process
model based reinforcement learning
decision problems