Planning under uncertainty, ensembles of disturbance trees and kernelized discrete action spaces.
Boris DefournyDamien ErnstLouis WehenkelPublished in: ADPRL (2009)
Keyphrases
- planning under uncertainty
- markov decision processes
- action space
- continuous action
- partially observable markov decision processes
- continuous state
- continuous state spaces
- state space
- finite state
- reinforcement learning
- optimal policy
- dynamical systems
- decision problems
- dynamic programming
- decision theoretic
- policy search
- partially observable
- markov decision process
- real valued
- multi agent
- belief state
- infinite horizon
- special case
- reward function
- ai planning
- markov chain
- graphical models
- cooperative