Markov decision processes with sequential sensor measurements.

Mahmoud El Chamie Dylan Janak Behçet Açikmese

Published in: Autom. (2019)

Keyphrases

markov decision processes
sensor measurements
sensor data
reinforcement learning
state space
optimal policy
finite state
policy iteration
dynamic programming

decision theoretic planning
transition matrices
reinforcement learning algorithms
partially observable
average reward
planning under uncertainty
finite horizon
average cost

infinite horizon
reachability analysis
markov decision process
factored mdps
wireless sensor networks
action space
risk sensitive
reward function

state and action spaces
model based reinforcement learning
machine learning
sensor networks
action sets
discounted reward
semi markov decision processes
interval estimation