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» Learning Policy Improvements with Path Integrals
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ATAL
2009
Springer
14 years 24 days ago
Integrating organizational control into multi-agent learning
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
RTCSA
2006
IEEE
14 years 7 days ago
Integrating Compiler and System Toolkit Flow for Embedded VLIW DSP Processors
To support high-performance and low-power for multimedia applications and for hand-held devices, embedded VLIW DSP processors are of research focus. With the tight resource constr...
Chi Wu, Kun-Yuan Hsieh, Yung-Chia Lin, Chung-Ju Wu...
AAAI
2000
13 years 7 months ago
ADVISOR: A Machine Learning Architecture for Intelligent Tutor Construction
We have constructed ADVISOR, a two-agent machine learning architecture for intelligent tutoring systems (ITS). The purpose of this architecture is to centralize the reasoning of a...
Joseph Beck, Beverly Park Woolf, Carole R. Beal
ICML
2006
IEEE
14 years 7 months ago
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuille...
ESOP
2010
Springer
13 years 9 months ago
A Semantic Framework for Declassification and Endorsement
Language-based information flow methods offer a principled way to enforce strong security properties, but enforcing noninterference is too inflexible for realistic applications. Se...
Aslan Askarov, Andrew Myers