Quantifying environment and population diversity in multi-agent reinforcement learning.
Kevin R. McKeeJoel Z. LeiboCharlie BeattieRichard EverettPublished in: CoRR (2021)
Keyphrases
- multi agent reinforcement learning
- population diversity
- evolutionary algorithm
- search efficiency
- distributed control
- convergence speed
- dynamic environments
- solution quality
- mobile robot
- particle swarm optimization
- reinforcement learning
- dynamic programming
- multi agent systems
- cooperative
- multi agent
- genetic algorithm ga
- autonomous agents
- fuzzy rules
- objective function