A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning.
Florian FeltenLucas N. AlegreAnn NowéAna L. C. BazzanEl-Ghazali TalbiGrégoire DanoyBruno C. da SilvaPublished in: NeurIPS (2023)
Keyphrases
- multi objective
- reinforcement learning
- evolutionary algorithm
- multi objective optimization
- multiobjective optimization
- objective function
- multiple objectives
- optimization algorithm
- function approximation
- particle swarm optimization
- genetic algorithm
- reinforcement learning algorithms
- model free
- nsga ii
- state space
- multi agent
- multi objective optimization problems
- markov decision processes
- conflicting objectives
- bi objective
- multi agent reinforcement learning
- evolutionary optimization
- multi criteria
- data sets
- temporal difference
- cost effective
- optimal policy
- multi objective evolutionary
- optimum design
- multiobjective evolutionary algorithm
- robotic control
- optimal control
- action space
- action selection
- transfer learning
- dynamic programming
- learning algorithm
- machine learning