Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes.
Patrice PernyPaul WengJudy GoldsmithJosiah HannaPublished in: CoRR (2013)
Keyphrases
- markov decision processes
- multi objective
- optimal solution
- objective function
- evolutionary algorithm
- finite state
- multi objective optimization
- state space
- nsga ii
- optimal policy
- policy iteration
- transition matrices
- reinforcement learning
- dynamic programming
- decision theoretic planning
- particle swarm optimization
- planning under uncertainty
- policy evaluation
- lower bound
- multiple objectives
- reachability analysis
- average cost
- infinite horizon
- reinforcement learning algorithms
- search space
- factored mdps
- genetic algorithm
- average reward
- partially observable
- real time dynamic programming
- markov decision process
- finite horizon
- stationary policies
- pareto optimal
- total cost
- model based reinforcement learning
- reward function
- least squares
- semi markov decision processes
- queueing networks