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PRICAI
1999
Springer
15 years 8 months ago
Rationality of Reward Sharing in Multi-agent Reinforcement Learning
Abstract. In multi-agent reinforcement learning systems, it is important to share a reward among all agents. We focus on the Rationality Theorem of Profit Sharing [5] and analyze ...
Kazuteru Miyazaki, Shigenobu Kobayashi
116
Voted
ATAL
2004
Springer
15 years 9 months ago
An Intent-Driven Planner for Multi-Agent Story Generation
The ability to generate narrative is of importance to computer systems that wish to use story effectively for entertainment, training, or education. We identify two properties of ...
Mark O. Riedl, R. Michael Young
131
Voted
ATAL
2010
Springer
15 years 5 months ago
Evolving policy geometry for scalable multiagent learning
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...
ICCV
1999
IEEE
16 years 5 months ago
Recognition of Multi-Agent Interaction in Video Surveillance
This paper describes a probabilistic syntactic approach to the detection and recognition of temporally extended activities and interactions between multiple agents. A complete sys...
Yuri A. Ivanov, Aaron F. Bobick
COMPLEX
2009
Springer
15 years 10 months ago
Dynamic Regimes of a Multi-agent Stock Market Model
This paper presents a stochastic multi-agent model of stock market. The market dynamics include switches between chartists and fundamentalists and switches in the prevailing opinio...
Tongkui Yu, Honggang Li