A Brief Guide to Multi-Objective Reinforcement Learning and Planning.
Conor F. HayesRoxana RadulescuEugenio BargiacchiJohan KällströmMatthew MacfarlaneMathieu ReymondTimothy VerstraetenLuisa M. ZintgrafRichard DazeleyFredrik HeintzEnda HowleyAthirai A. IrissappanePatrick MannionAnn NowéGabriel de Oliveira RamosMarcello RestelliPeter VamplewDiederik M. RoijersPublished in: AAMAS (2023)
Keyphrases
- multi objective
- reinforcement learning
- evolutionary algorithm
- optimization algorithm
- multi objective optimization
- action selection
- objective function
- planning problems
- macro actions
- multiple objectives
- function approximation
- state space
- deterministic domains
- bi objective
- heuristic search
- particle swarm optimization
- multi agent
- multiobjective optimization
- decision support
- stochastic domains
- learning algorithm
- complex domains
- partially observable
- optimum design
- conflicting objectives
- multi objective evolutionary algorithms
- motion planning
- optimal policy
- ai planning
- pareto optimal
- multi agent systems
- blocks world
- dynamic programming
- mobile robot
- machine learning
- neural network