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NIPS
2003
15 years 8 months ago
All learning is Local: Multi-agent Learning in Global Reward Games
In large multiagent games, partial observability, coordination, and credit assignment persistently plague attempts to design good learning algorithms. We provide a simple and ef...
Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling
NIPS
2003
15 years 8 months ago
Learning Near-Pareto-Optimal Conventions in Polynomial Time
We study how to learn to play a Pareto-optimal strict Nash equilibrium when there exist multiple equilibria and agents may have different preferences among the equilibria. We focu...
Xiao Feng Wang, Tuomas Sandholm
ACSC
2007
IEEE
16 years 1 months ago
Mutually Visible Agents in a Discrete Environment
As computer controlled entities are set to move and explore more complex environments they need to be able to perform navigation tasks, like finding minimal cost routes. Much wor...
Joel Fenwick, Vladimir Estivill-Castro
AUSAI
2003
Springer
16 years 3 hour ago
BN+BN: Behavior Network with Bayesian Network for Intelligent Agent
Abstract. In the philosophy of behavior-based robotics, design of complex behavior needs the interaction of basic behaviors that are easily implemented. Action selection mechanism ...
Kyung-Joong Kim, Sung-Bae Cho
ANSS
2002
IEEE
15 years 11 months ago
Temporal Uncertainty Time Warp: An Agent-Based Implementation
This paper introduces TUTW – Temporal Uncertainty Time Warp – a control engine designed for an exploitation of temporal uncertainty (TU) in general optimistic simulations, and...
Roberto Beraldi, Libero Nigro, Antonino Orlando, F...