The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics.
Aamal Abbas HussainFrancesco BelardinelliDario PaccagnanPublished in: ICML (2023)
Keyphrases
- multi agent
- reinforcement learning
- cooperative
- stochastic approximation
- multi agent simulation
- single agent
- exploration strategy
- initial conditions
- action selection
- agent based simulations
- multi agent systems
- intelligent agents
- multiagent systems
- dynamical systems
- autonomous agents
- heterogeneous agents
- coalition formation
- learning algorithm
- neural network
- convergence proof
- multi agent reinforcement learning
- iterative algorithms
- learning rate
- convergence rate
- multiagent learning
- temporal difference learning
- agent based models
- genetic algorithm