108 search results - page 9 / 22 » Agents that Learn to Explain Themselves |
94
Voted
ATAL
2011
Springer
13 years 9 months ago
2011
Springer
In multi-agent planning environments, action models for each agent must be given as input. However, creating such action models by hand is difficult and time-consuming, because i...
HIS
2004
14 years 11 months ago
2004
In this paper, we describe how certain aspects of the biological phenomena of stigmergy can be imported into multiagent reinforcement learning (MARL), with the purpose of better e...
JUCS
2008
14 years 9 months ago
2008
: This paper analyses aspects about the recommendation process in distributed information systems. It extracts similarities and differences between recommendations in estores and t...
FLAIRS
2009
14 years 7 months ago
2009
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
71
Voted
AAAI
2004
14 years 11 months ago
2004
Computer systems are rapidly becoming so complex that maintaining them with human support staffs will be prohibitively expensive and inefficient. In response, visionaries have beg...