High level coordination of agents based on multiagent Markov decision processes with roles

By Matthijs T. J. Spaan, Nikos A. Vlassis, F. Groen. 2002

29 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yaodong Yang
2. Ying Wen
3. Jun Wang
4. Peng Peng
5. Quan Yuan
6. Zhenkun Tang
7. Haitao Long
8. Jiechuan Jiang

Citations in the corpus

• Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games (2017, background): “s. The bi-directional nature means that the communication is not entirely symmetric, and the different priority among agents would help solving any possible tie between multiple optimal joint actions [35, 36]. 2Trademark of Blizzard EntertainmentTM. 2 Attention Neron Bi-directional RNN Policy Action”
• A Comprehensive Survey of Multiagent Reinforcement Learning (2008, unknown): “An agent role restricts the set of actions available to that agent prior to action selection, as in e.g., [79].”
• Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games (2017, background): “The bi-directional nature means that the communication is not entirely symmetric, and the different priority among agents would help solving any possible tie between multiple optimal joint actions [35, 36].”