Maximizing utility in multi-agent environments by anticipating the behavior of other learners.
Angelos AssosYuval DaganConstantinos DaskalakisPublished in: CoRR (2024)
Keyphrases
- multi agent environments
- multi agent
- autonomous agents
- multi agent systems
- reinforcement learning
- utility function
- learning environment
- learning process
- collaborative learning
- learning styles
- learning activities
- virtual environment
- neural network
- dynamic environments
- e learning
- reinforcement learning agents
- multiagent systems
- learning experience
- orders of magnitude
- cost function
- decision making
- machine learning