Enhanced Cooperative Multi-Agent Learning Algorithm (ECMLA) Algorithm

An Enhanced Cooperative Multi-Agent Learning Algorithm (ECMLA) Algorithm is a Cooperative Multi-Agent Learning Algorithm that can be implemented by a ECMLA System to solve a ECMLA Task.

• AKA: ECMLA Algorithm.
• Example(s):
  • …
• Counter-Example(s):
  • Adapt When Everybody is Stationary Otherwise Move to Equilibrium (AWESOME) Algorithm,
  • Learn or Exploit for Adversary Induced Markov Decision Process (LoE-AIM) Algorithm,
  • Replicatior Dynamics with a Variable Learning Rate (ReDVaLeR) Algorithm,
  • Weighted Policy Learner (WPL) Algorithm,
  • Win or Learn Fast (WoLF) Algorithm.
• See: Game Theory, Machine Learning System, Q-Learning, Reinforcent Learning, Nash Equilibrium.

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References

2016

• (Vidhate & Kulkarni, 2016) ⇒ Deepak A Vidhate, and Parag Kulkarni. (2016). “Enhanced Cooperative Multi-agent Learning Algorithms (ECMLA) Using Reinforcement Learning.” In: Proceedings of International Conference on Computing, Analytics and Security Trends (CAST 2016). doi:10.1109/CAST.2016.7915030
  • QUOTE: his paper proposes a new move toward Enhanced Cooperative Multi-agent Learning Algorithms (ECMLA) using reinforcement learning methods. The paper shows the performance comparison between multi-agent learning algorithms and enhanced cooperative multi-agent learning algorithms using reinforcement learning methods.

2005

• (Hoen et al., 2005) ⇒ Pieter Jan 't Hoen, Karl Tuyls, Liviu Panait, Sean Luke, and J. A. La Poutré. (2005). “An Overview of Cooperative and Competitive Multiagent Learning.” In: Proceedings of the First International Conference on Learning and Adaption in Multi-Agent Systems. ISBN:3-540-33053-4, 978-3-540-33053-0 doi:10.1007/11691839_1----