Multi-objective Robust Strategy Synthesis for Interval Markov Decision Processes.
Ernst Moritz HahnVahid HashemiHolger HermannsMorteza LahijanianAndrea TurriniPublished in: QEST (2017)
Keyphrases
- markov decision processes
- multi objective
- state space
- optimal policy
- policy iteration
- reinforcement learning
- dynamic programming
- finite state
- decision theoretic planning
- transition matrices
- finite horizon
- reachability analysis
- decision processes
- risk sensitive
- reinforcement learning algorithms
- planning under uncertainty
- infinite horizon
- multi objective optimization
- evolutionary algorithm
- action sets
- multiple objectives
- average cost
- reward function
- partially observable
- interval estimation
- model based reinforcement learning
- stochastic shortest path
- neural network
- state and action spaces
- probabilistic planning
- action space
- markov decision process
- optimal strategy
- genetic algorithm