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AIIDE
2007
15 years 8 months ago
SORTS: A Human-Level Approach to Real-Time Strategy AI
We developed knowledge-rich agents to play real-time strategy games by interfacing the ORTS game engine to the Soar cognitive architecture. The middleware we developed supports gr...
Samuel Wintermute, Joseph Xu, John E. Laird
NIPS
2003
15 years 7 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
15 years 7 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
ATAL
2005
Springer
16 years 54 min 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
15 years 12 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