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NIPS
2003
13 years 11 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 efï¬...
Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling
NIPS
2003
13 years 11 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
ICALT
2005
IEEE
14 years 4 months ago
Building Software Agents to Assist Teaching in Distance Learning Environments
This paper reports on the implementation and realization of software agents as teaching assistants in the distance learning environment. The software agent we built is able to ext...
Sheung-On Choy, Sin Chun Ng, Yiu-Chung Tsang
ATAL
2005
Springer
14 years 3 months ago
A negotiation model for autonomous agents: key features and comparison with existing models
This paper presents the key features of a new negotiation model for autonomous agents. The model is generic, handles multi-party and multi-issue negotiation, acknowledges the role...
Fernando Lopes, Augusto Q. Novais, Nuno J. Mamede,...
IVA
2005
Springer
14 years 3 months ago
Autonomous Virtual Agents Learning a Cognitive Model and Evolving
In this paper, we propose a new integration approach to simulate an Autonomous Virtual Agent's cognitive learning of a task for interactive Virtual Environment applications. O...
Toni Conde, Daniel Thalmann