Structural Estimation of Partially Observable Markov Decision Processes.
Yanling ChangAlfredo GarciaZhide WangLu SunPublished in: IEEE Trans. Autom. Control. (2023)
Keyphrases
- partially observable markov decision processes
- finite state
- planning under uncertainty
- belief space
- reinforcement learning
- belief state
- dynamical systems
- stochastic domains
- continuous state
- decision problems
- optimal policy
- partial observability
- planning problems
- dynamic programming
- partially observable stochastic games
- dec pomdps
- markov decision processes
- partially observable markov
- partially observable domains
- partially observable markov decision process
- decision making
- state space
- sequential decision making problems
- parameter estimation
- decision theoretic