A Markov Decision Process to Determine Optimal Policies in Moving Target.
Jianjun ZhengAkbar Siami NaminPublished in: CCS (2018)
Keyphrases
- optimal policy
- moving target
- decision problems
- markov decision processes
- state space
- reinforcement learning
- finite horizon
- dynamic programming
- infinite horizon
- long run
- motion detection
- sufficient conditions
- finite state
- real time
- moving target detection
- dynamic programming algorithms
- moving objects
- average reward
- markov decision process
- policy iteration
- serial inventory systems
- initial state
- moving camera
- partially observable markov decision processes
- markov chain
- computer vision