Partially Observable Markov Decision Processes in Robotics: A Survey.
Mikko LauriDavid HsuJoni PajarinenPublished in: CoRR (2022)
Keyphrases
- partially observable markov decision processes
- finite state
- belief space
- reinforcement learning
- dynamical systems
- optimal policy
- planning under uncertainty
- dynamic programming
- belief state
- decision problems
- continuous state
- partially observable stochastic games
- markov decision processes
- partial observability
- stochastic domains
- state space
- multi agent
- sequential decision making problems
- partially observable
- planning problems
- computer vision
- partially observable domains
- predictive state representations
- markov chain
- partially observable markov
- initial state
- single agent
- optimal control
- decision theoretic planning
- point based value iteration
- graphical models