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IAT
2007
IEEE
14 years 4 months ago
Noise Tolerance in Reinforcement Learning Algorithms
This paper proposes a mechanism of noise tolerance for reinforcement learning algorithms. An adaptive agent that employs reinforcement learning algorithms may receive and accumula...
Richardson Ribeiro, Alessandro L. Koerich, Fabr&ia...
IAT
2007
IEEE
14 years 1 months ago
A Unified Framework Based on HTN and POP Approaches for Multi-Agent Planning
The purpose of this paper is to introduce a multi-agent model for plan synthesis in which the production of a global shared plan is based on a promising unified framework based on...
Damien Pellier, Humbert Fiorino
IAT
2007
IEEE
14 years 4 months ago
A Study of an Approach to the Collective Iterative Task Allocation Problem
A major challenge in the field of Multi-Agent Systems is to enable autonomous agents to allocate tasks efficiently. This paper extends previous work on an approach to the collec...
Christian Guttmann, Iyad Rahwan, Michael P. George...
IAT
2007
IEEE
14 years 4 months ago
Planning and Choosing: Augmenting HTN-Based Agents with Mental Attitudes
This paper describes a new agent framework that fuses an HTN planner, through its underlying conceptual model, with the mental attitudes of the BDI agent architecture, thus exploi...
Gerhard Wickler, Stephen Potter, Austin Tate, Mich...
IAT
2007
IEEE
14 years 4 months ago
Comparing Route Selection Strategies in Collaborative Traffic Flow Management
Today’s air traffic management system is not expected to scale to the projected increase in traffic over the next two decades. Enhanced collaboration between the controllers and...
Shawn R. Wolfe, Francis Y. Enomoto, Peter A. Jarvi...