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» Learning and Multiagent Reasoning for Autonomous Agents
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JIRS
2000
144views more  JIRS 2000»
13 years 7 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
13 years 9 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
13 years 9 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
13 years 9 months 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
14 years 1 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