Partially Observable Markov Decision Processes in Robotics: A Survey.
Mikko LauriDavid HsuJoni PajarinenPublished in: IEEE Trans. Robotics (2023)
Keyphrases
- partially observable markov decision processes
- finite state
- reinforcement learning
- belief state
- dynamical systems
- belief space
- optimal policy
- decision problems
- continuous state
- planning under uncertainty
- partially observable stochastic games
- partial observability
- dynamic programming
- state space
- stochastic domains
- partially observable domains
- markov decision processes
- multi agent
- planning problems
- markov chain
- partially observable markov
- computer vision
- partially observable
- sequential decision making problems
- partially observable markov decision process
- dec pomdps
- predictive state representations
- mobile robot
- special case
- bayesian networks
- learning algorithm