Partially Observable Markov Decision Processes (POMDPs) and Robotics.
Hanna KurniawatiPublished in: CoRR (2021)
Keyphrases
- partially observable markov decision processes
- finite state
- dynamical systems
- reinforcement learning
- decision problems
- belief state
- planning under uncertainty
- continuous state
- dynamic programming
- optimal policy
- markov decision processes
- multi agent
- state space
- partial observability
- belief space
- planning problems
- partially observable stochastic games
- stochastic domains
- policy search
- sequential decision making problems
- partially observable markov decision
- partially observable
- dec pomdps
- incremental pruning
- partially observable markov decision process
- approximate solutions
- bayesian reinforcement learning
- partially observable markov
- markov chain
- domain specific
- bayesian networks