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» Policy Tree: Adaptive Representation for Policy Gradient
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IJRR
2008
186views more  IJRR 2008»
13 years 6 months ago
Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
Paulina Varshavskaya, Leslie Pack Kaelbling, Danie...
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...
ATAL
2003
Springer
13 years 11 months ago
Self-Organizing Referral Networks: A Process View of Trust and Authority
Abstract. We are developing a decentralized approach to trust based on referral systems, where agents adaptively give referrals to one another to find other trustworthy agents. In...
Pinar Yolum, Munindar P. Singh
ATAL
2006
Springer
13 years 10 months ago
Rule value reinforcement learning for cognitive agents
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
Christopher Child, Kostas Stathis
ICDE
2003
IEEE
138views Database» more  ICDE 2003»
14 years 7 months ago
Using State Modules for Adaptive Query Processing
We present a query architecture in which join operators are decomposed into their constituent data structures (State Modules, or SteMs), and dataflow among these SteMs is managed ...
Vijayshankar Raman, Amol Deshpande, Joseph M. Hell...