Maximizing Local Rewards on Multi-Agent Quantum Games through Gradient-Based Learning Strategies.
Agustin SilvaOmar Gustavo ZabaletaConstancio M. ArizmendiPublished in: Entropy (2023)
Keyphrases
- learning strategies
- multi agent
- reinforcement learning
- leader follower
- learning agents
- reinforcement learning agents
- online learning
- extensive form games
- computer games
- active learning
- video games
- game theory
- cooperative
- multi agent systems
- game playing
- markov decision processes
- multiple agents
- game play
- game theoretic
- mental models
- serious games
- computer based instruction
- computer literacy
- nash equilibrium
- state space
- machine learning