Design and implementation of adaptive signal processing systems using Markov decision processes.
Lin LiAdrian E. SapioJiahao WuYanzhou LiuKyunghun LeeMarilyn WolfShuvra S. BhattacharyyaPublished in: ASAP (2017)
Keyphrases
- markov decision processes
- signal processing
- state space
- optimal policy
- finite state
- decentralized control
- reinforcement learning
- policy iteration
- finite horizon
- infinite horizon
- transition matrices
- model based reinforcement learning
- factored mdps
- planning under uncertainty
- decision problems
- dynamic programming
- markov decision process
- learning algorithm
- circuit design
- decision processes
- average reward
- multistage
- markov chain
- decision theoretic planning
- linear programming
- multi agent
- interval estimation