Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization.
Michael KölleFelix ToppThomy PhanPhilipp AltmannJonas NüßleinClaudia Linnhoff-PopienPublished in: ICAART (1) (2024)
Keyphrases
- evolutionary optimization
- reinforcement learning
- multi agent
- multi objective
- genetic optimization
- constraint handling
- genetic algorithm
- reinforcement learning agents
- function approximation
- multi agent systems
- reinforcement learning algorithms
- cooperative
- autonomous agents
- multi agent reinforcement learning
- quantum inspired
- state space
- multi agent environments
- multiagent systems
- markov decision processes
- structural design
- evolutionary algorithm
- quantum computing
- fuzzy modeling
- single agent
- model free
- machine learning
- dynamic programming
- learning process
- temporal difference
- action selection
- learning agents
- learning algorithm
- quantum computation
- pattern recognition
- learning classifier systems
- optimal policy
- objective function