Partially Observable Markov Decision Processes and Robotics.
Hanna KurniawatiPublished in: Annu. Rev. Control. Robotics Auton. Syst. (2022)
Keyphrases
- partially observable markov decision processes
- finite state
- reinforcement learning
- dynamical systems
- decision problems
- optimal policy
- planning under uncertainty
- partially observable stochastic games
- dynamic programming
- continuous state
- belief space
- belief state
- planning problems
- partial observability
- markov decision processes
- partially observable domains
- stochastic domains
- computer vision
- multi agent
- dec pomdps
- partially observable markov
- sequential decision making problems
- state space
- point based value iteration
- markov chain
- partially observable
- approximate solutions
- infinite horizon
- initial state
- predictive state representations
- orders of magnitude
- objective function