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» HOPPER: a hierarchical planning agent for unpredictable doma...
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FCS
2007
13 years 6 months ago
Coordinating Planning Agents for Moderately and Tightly-Coupled Tasks
In many task-planning domains, dynamic assemblies of autonomous agents are replacing hierarchical organisations because they promise more agility. In such assemblies, interdepende...
J. Renze Steenhuisen, Cees Witteveen
AAAI
2010
13 years 6 months ago
Planning in Dynamic Environments: Extending HTNs with Nonlinear Continuous Effects
Planning in dynamic continuous environments requires reasoning about nonlinear continuous effects, which previous Hierarchical Task Network (HTN) planners do not support. In this ...
Matthew Molineaux, Matthew Klenk, David W. Aha
CSL
2010
Springer
13 years 5 months ago
Evaluation of a hierarchical reinforcement learning spoken dialogue system
We describe an evaluation of spoken dialogue strategies designed using hierarchical reinforcement learning agents. The dialogue strategies were learnt in a simulated environment a...
Heriberto Cuayáhuitl, Steve Renals, Oliver ...
ATAL
2006
Springer
13 years 9 months ago
Continuous refinement of agent resource estimates
The challenge we address is to reason about projected resource usage within a hierarchical task execution framework in order to improve agent effectiveness. Specifically, we seek ...
David N. Morley, Karen L. Myers, Neil Yorke-Smith
DAGSTUHL
2007
13 years 6 months ago
Learning Probabilistic Relational Dynamics for Multiple Tasks
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...