Bounded Approximations for Linear Multi-Objective Planning Under Uncertainty.
Diederik Marijn RoijersJoris ScharpffMatthijs T. J. SpaanFrans A. OliehoekMathijs de WeerdtShimon WhitesonPublished in: ICAPS (2014)
Keyphrases
- planning under uncertainty
- multi objective
- decision theoretic
- markov decision processes
- ai planning
- multi objective optimization
- evolutionary algorithm
- dynamical systems
- objective function
- multi agent
- genetic algorithm
- belief space
- partially observable markov decision processes
- linear functions
- orders of magnitude
- optimal policy
- state space
- finite state
- mobile robot
- decision theoretic planning
- robotic tasks