POMDPs in Continuous Time and Discrete Spaces.
Bastian AltMatthias SchultheisHeinz KoepplPublished in: CoRR (2020)
Keyphrases
- partially observable markov decision processes
- dynamical systems
- state space
- reinforcement learning
- belief state
- markov chain
- partially observable
- markov processes
- markov decision processes
- finite state
- optimal control
- predictive state representations
- point based value iteration
- distributed constraint optimization
- continuous time bayesian networks
- policy iteration algorithm
- stochastic processes
- planning under uncertainty
- belief space
- dec pomdps
- dynamic programming
- infinite horizon
- iterative learning control
- initial state
- markov process
- optimal policy
- decision problems
- markov decision problems
- graphical models
- genetic algorithm