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» A Learning Architecture for the Game of Go
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ATAL
2008
Springer
14 years 11 months ago
Emerging coordination in infinite team Markov games
In this paper we address the problem of coordination in multi-agent sequential decision problems with infinite statespaces. We adopt a game theoretic formalism to describe the int...
Francisco S. Melo, M. Isabel Ribeiro
CORR
2011
Springer
171views Education» more  CORR 2011»
14 years 4 months ago
Parallel Online Learning
Online learning algorithms have impressive convergence properties when it comes to risk minimization and convex games on very large problems. However, they are inherently sequenti...
Daniel Hsu, Nikos Karampatziakis, John Langford, A...
102
Voted
MOBIHOC
2012
ACM
13 years 1 days ago
Spatial spectrum access game: nash equilibria and distributed learning
A key feature of wireless communications is the spatial reuse. However, the spatial aspect is not yet well understood for the purpose of designing efficient spectrum sharing mecha...
Xu Chen, Jianwei Huang
CIG
2005
IEEE
15 years 3 months ago
Combining Coaching and Learning to Create Cooperative Character Behavior
Abstract- We present a concept for developing cooperative characters (agents) for computer games that combines coaching by a human with evolutionary learning. The basic idea is to ...
Jörg Denzinger, Chris Winder
CG
2008
Springer
14 years 11 months ago
A Parallel Monte-Carlo Tree Search Algorithm
Monte-Carlo tree search is a powerful paradigm for the game of Go. We present a parallel Master-Slave algorithm for Monte-Carlo tree search. We experimented the algorithm on a netw...
Tristan Cazenave, Nicolas Jouandeau