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» Learning and Multiagent Reasoning for Autonomous Agents
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JIRS
2000
144views more  JIRS 2000»
14 years 10 months ago
An Integrated Approach of Learning, Planning, and Execution
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
Ramón García-Martínez, Daniel...
AAAI
2006
14 years 11 months ago
Winning the DARPA Grand Challenge with an AI Robot
This paper describes the software architecture of Stanley, an autonomous land vehicle developed for high-speed desert driving without human intervention. The vehicle recently won ...
Michael Montemerlo, Sebastian Thrun, Hendrik Dahlk...
JIISIC
2001
14 years 11 months ago
Knowledge Component of a Multiagent Distributed Decision Support System
We have developed a distributed DSS capable to working in a dynamic way. That is, when a domain of an organization needs a new kind of information, the system looks for this infor...
Georgina Stegmayer, María Laura Caliusco, O...
ATAL
2008
Springer
15 years 4 days ago
Simultaneously modeling humans' preferences and their beliefs about others' preferences
In strategic multiagent decision making, it is often the case that a strategic reasoner must hold beliefs about other agents and use these beliefs to inform its decision making. T...
Sevan G. Ficici, Avi Pfeffer
ATAL
2005
Springer
15 years 3 months ago
Behavior transfer for value-function-based reinforcement learning
Temporal difference (TD) learning methods [22] have become popular reinforcement learning techniques in recent years. TD methods have had some experimental successes and have been...
Matthew E. Taylor, Peter Stone