Partially Observable Markov Decision Processes for Fault Management in Autonomous Underwater Vehicles.
Kathleen A. SvendsenMae L. SetoPublished in: CCECE (2020)
Keyphrases
- partially observable markov decision processes
- fault management
- autonomous underwater vehicles
- fault tolerance
- network management
- finite state
- knowledge based systems
- reinforcement learning
- dynamical systems
- decision problems
- optimal policy
- cooperative
- belief state
- path planning
- dynamic programming
- computer systems
- fault tolerant
- markov decision processes
- multi agent
- planning problems
- state space
- approximate solutions
- autonomous underwater vehicle
- computer networks
- load balancing
- infinite horizon
- markov chain
- expert systems
- data analysis
- decision making