Markov decision processes with sequential sensor measurements.
Mahmoud El ChamieDylan JanakBehçet AçikmesePublished 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