Robustness of Optimality of Exploration Ratio against Agent Population in Multiagent Learning for Nonstationary Environments

@inproceedings{2014RobustnessOO,
  title={Robustness of Optimality of Exploration Ratio against Agent Population in Multiagent Learning for Nonstationary Environments},
  author={},
  year={2014}
}
  • Published 2014
In this article, I show the robustness of optimality of exploration ratio against the number of agents (agent population) under multiagent learning (MAL) situation in nonstationary environments. Agent population will affect efficiency of agents’ learning because each agent’s learning causes noisy factors for others. From this point, exploration ratio should… CONTINUE READING