Sciweavers

388 search results - page 16 / 78
» Learning to Optimize Plan Execution in Information Agents
Sort
View
AIPS
2006
13 years 9 months ago
Goal Achievement in Partially Known, Partially Observable Domains
We present a decision making algorithm for agents that act in partially observable domains which they do not know fully. Making intelligent choices in such domains is very difficu...
Allen Chang, Eyal Amir
HICSS
1999
IEEE
106views Biometrics» more  HICSS 1999»
13 years 11 months ago
Automating the Interoperation of Information Processing Tools
This paper describes an agent-based architecture designed to support the interoperation of distributed and disparate information processing tools and resources. This work is based...
Stephen Cranefield, Emanuela Moreale, Bryce McKinl...
ICML
2006
IEEE
14 years 8 months ago
Maximum margin planning
Mobile robots often rely upon systems that render sensor data and perceptual features into costs that can be used in a planner. The behavior that a designer wishes the planner to ...
Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinke...
AAAI
2012
11 years 10 months ago
Learning from Demonstration for Goal-Driven Autonomy
Goal-driven autonomy (GDA) is a conceptual model for creating an autonomous agent that monitors a set of expectations during plan execution, detects when discrepancies occur, buil...
Ben George Weber, Michael Mateas, Arnav Jhala
AGENTS
1997
Springer
13 years 11 months ago
Designing Behaviors for Information Agents
To facilitate the rapid development and open system interoperability of autonomous agents we need to carefully specify and effectively implement various classes of agent behaviors...
Keith Decker, Anandeep Pannu, Katia P. Sycara, Mik...