Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes.
Patrice PernyPaul WengJudy GoldsmithJosiah HannaPublished in: UAI (2013)
Keyphrases
- markov decision processes
- multi objective
- optimal solution
- objective function
- evolutionary algorithm
- state space
- finite state
- dynamic programming
- reinforcement learning
- optimal policy
- nsga ii
- policy iteration
- decision theoretic planning
- transition matrices
- particle swarm optimization
- multi objective optimization
- reinforcement learning algorithms
- policy evaluation
- reachability analysis
- multiple objectives
- lower bound
- genetic algorithm
- infinite horizon
- partially observable
- action sets
- markov decision process
- finite horizon
- factored mdps
- planning under uncertainty
- discounted reward
- pareto optimal
- semi markov decision processes
- efficient solutions
- average reward
- action space
- state and action spaces
- neural network
- total cost
- real time dynamic programming
- knapsack problem
- optimization problems