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An Analysis of Discretization Methods for Communication Learning with Multi-Agent Reinforcement Learning.

Astrid VannesteSimon VannesteKevin MetsTom De SchepperSiegfried MercelisSteven LatréPeter Hellinckx
Published in: CoRR (2022)
Keyphrases
  • multi agent reinforcement learning
  • learning process
  • learning algorithm
  • reinforcement learning
  • supervised learning
  • decision trees
  • learning agents
  • genetic algorithm
  • knowledge acquisition
  • discretization methods