Cooperative Multi-Agent Learning: The State of the Art

@article{Panait2005CooperativeML,
  title={Cooperative Multi-Agent Learning: The State of the Art},
  author={Liviu Panait and S. Luke},
  journal={Autonomous Agents and Multi-Agent Systems},
  year={2005},
  volume={11},
  pages={387-434}
}
Cooperative multi-agent systems (MAS) are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among the agents, multi-agent problem complexity can rise rapidly with the number of agents or their behavioral sophistication. The challenge this presents to the task of programming solutions to MAS problems has spawned increasing interest in machine learning techniques to automate the search and optimization process… Expand
1,160 Citations
Multi-agent Reinforcement Learning: An Overview
A Comprehensive Survey of Multiagent Reinforcement Learning
Scaling multi-agent learning in complex environments
Cooperative reinforcement learning in topology-based multi-agent systems
  • D. Xiao, A. Tan
  • Computer Science
  • Autonomous Agents and Multi-Agent Systems
  • 2011
Multi-Agent Reinforcement Learning: A Survey
Evolutionary Dynamics of Multi-Agent Learning: A Survey
06-025 Multi-agent reinforcement learning : A survey ∗
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 424 REFERENCES
Hierarchical multi-agent reinforcement learning
Learning, Cooperation, and Coordination in Multi-Agent Systems
General principles of learning-based multi-agent systems
Multiagent learning in the presence of agents with limitations
Model-based Learning of Interaction Strategies in Multi-agent Systems
Genetic Programming And Multi-agent Layered Learning By Reinforcements
Reinforcement Learning Approaches to Coordination in Cooperative Multi-agent Systems
Planning, Learning and Coordination in Multiagent Decision Processes
...
1
2
3
4
5
...