Vidal's library
Title: Multi-Agent Reinforcement Learning:a critical survey
Author: Yoav Shoham, Rob Powers, and Trond Grenager
Year: 2003
Abstract: We survey the recent work in AI on multi-agent reinforcement learning (that is, learning in stochastic games). We then argue that, while exciting, this work is flawed. The fundamental flaw is unclarity about the problem or problems being addressed. After tracing a representative sample of the recent literature, we identify four well-defined problems in multi-agent reinforcement learning, single out the problem that in our view is most suitable for AI, and make some remarks about how we believe progress is to b e made on this problem.

Cited by 34  -  Google Scholar

@Unpublished{shoham03a,
  author =	 {Yoav Shoham and Rob Powers and Trond Grenager},
  title =	 {Multi-{A}gent Reinforcement Learning:a critical
                  survey},
  note =	 {Unpublished survey},
  year =	 2003,
  abstract =	 {We survey the recent work in AI on multi-agent
                  reinforcement learning (that is, learning in
                  stochastic games). We then argue that, while
                  exciting, this work is flawed. The fundamental flaw
                  is unclarity about the problem or problems being
                  addressed. After tracing a representative sample of
                  the recent literature, we identify four well-defined
                  problems in multi-agent reinforcement learning,
                  single out the problem that in our view is most
                  suitable for AI, and make some remarks about how we
                  believe progress is to b e made on this problem.},
  keywords =     {multiagent learning survey},
  googleid = 	 {4pMLvwoXnp8J:scholar.google.com/},
  url = 	 {http://jmvidal.cse.sc.edu/library/shoham03a.pdf},
  cluster = 	 {11501655833273144290}
}
Last modified: Wed Mar 9 10:16:03 EST 2011