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AAMAS
2007
Springer
13 years 8 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
KBSE
2002
IEEE
14 years 1 months ago
An Approach to Rapid Prototyping of Large Multi-Agent Systems
Engineering individual components of a multi-agent system and their interactions is a complex and error-prone task in urgent need of methods and tools. Prototyping is a valuable t...
Wamberto Weber Vasconcelos, Carles Sierra, Marc Es...
IEEEIA
2009
13 years 6 months ago
Information Leakage Detection in Distributed Systems using Software Agent
Covert channel attacks utilize shared resources to indirectly transmit sensitive information to unauthorized parties. Current security mechanisms such as SELinux rely on tagging th...
Yung-Chuan Lee, Stephen Bishop, Hamed Okhravi, Sha...
AIEDU
2005
135views more  AIEDU 2005»
13 years 8 months ago
Simulating Instructional Roles through Pedagogical Agents
This paper describes the design and empirical validation of three distinct pedagogical agent roles (Expert, Motivator, and Mentor) for college students within the MIMIC (Multiple I...
Amy L. Baylor, Yanghee Kim
ATAL
2006
Springer
14 years 12 days ago
Distributed Lagrangean relaxation protocol for the generalized mutual assignment problem
Abstract. The generalized assignment problem (GAP) is a typical NP-hard problem and has been studied for many years mainly in the operations research community. The goal of the GAP...
Katsutoshi Hirayama