Detection-averse optimal and receding-horizon control for Markov decision processes.
Nan LiIlya V. KolmanovskyAnouck GirardPublished in: Autom. (2020)
Keyphrases
- markov decision processes
- receding horizon
- optimal linear
- dynamic programming
- average cost
- air traffic control
- average reward
- action sets
- finite horizon
- state space
- reinforcement learning
- optimal policy
- optimal control
- finite state
- infinite horizon
- control policy
- transition matrices
- decision theoretic planning
- discounted reward
- policy iteration
- stationary policies
- unmanned aerial vehicles
- action space
- formation control
- optimal solution
- path planning
- control theory
- markov decision process
- heuristic search
- control system
- decision making