Efficient exploration by switching agents according to degree of convergence of learning on Heterogeneous Multi-Agent Reinforcement Learning in Single Robot.
Riku NaritaTatsufumi MatsushimaKentarou KurashigePublished in: SSCI (2021)
Keyphrases
- multi agent reinforcement learning
- learning agents
- multi agent
- multi agent learning
- multi agent systems
- cooperative multi agent systems
- learning process
- reinforcement learning
- stochastic games
- learning agent
- supervised learning
- cooperative
- learning algorithm
- multiagent learning
- autonomous agents
- multiagent systems
- knowledge acquisition
- learning problems
- learning capabilities
- vision system