Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes.
Patrice PernyPaul WengJudy GoldsmithJosiah HannaPublished in: AAAI (Late-Breaking Developments) (2013)
Keyphrases
- markov decision processes
- multi objective
- optimal solution
- objective function
- state space
- optimal policy
- transition matrices
- finite state
- policy iteration
- dynamic programming
- evolutionary algorithm
- multi objective optimization
- reinforcement learning
- nsga ii
- particle swarm optimization
- average reward
- reinforcement learning algorithms
- reachability analysis
- decision theoretic planning
- genetic algorithm
- factored mdps
- model based reinforcement learning
- multiple objectives
- policy evaluation
- stationary policies
- reward function
- np hard
- partially observable
- average cost
- finite horizon
- planning under uncertainty
- pareto optimal
- approximation methods
- markov decision process
- search space
- lower bound
- action space
- queueing networks
- solution quality
- real valued
- stochastic shortest path