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IJCAI
2007
15 years 1 months ago
An Information-Theoretic Analysis of Memory Bounds in a Distributed Resource Allocation Mechanism
Multiagent distributed resource allocation requires that agents act on limited, localized information with minimum communication overhead in order to optimize the distribution of ...
Ricardo M. Araujo, Luís C. Lamb
ECML
2003
Springer
15 years 5 months ago
Self-evaluated Learning Agent in Multiple State Games
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
Koichi Moriyama, Masayuki Numao
AAAI
1998
15 years 1 months ago
Tree Based Discretization for Continuous State Space Reinforcement Learning
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
William T. B. Uther, Manuela M. Veloso
ICMCS
2006
IEEE
117views Multimedia» more  ICMCS 2006»
15 years 6 months ago
Ermdclime: Enabling Real-time Multimedia Discussion for Collaborative Learning in Mobile Environment
With the aid of mobile technology, it’s possible to carry out collaborative learning (CL) in any places at any time. And the most essential and effective way to achieve this goa...
Xin Xiao, Yuanchun Shi, Nan Zhang
73
Voted
ATAL
2008
Springer
15 years 1 months ago
Learning task-specific trust decisions
We study the problem of agents locating other agents that are both capable and willing to help complete assigned tasks. An agent incurs a fixed cost for each help request it sends...
Ikpeme Erete, Erin Ferguson, Sandip Sen