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» Using Learning in a Control Agent
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127
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AAAI
2010
15 years 5 months ago
Interactive Learning Using Manifold Geometry
We present an interactive learning method that enables a user to iteratively refine a regression model. The user examines the output of the model, visualized as the vertical axis ...
Eric Eaton, Gary Holness, Daniel McFarlane
99
Voted
IAT
2008
IEEE
15 years 10 months ago
A Collaborative Reinforcement Learning Approach to Urban Traffic Control Optimization
As'ad Salkham, Raymond Cunningham, Anurag Garg, Vi...
147
Voted
ATAL
2004
Springer
15 years 9 months ago
Resource Allocation in the Grid Using Reinforcement Learning
One of the main challenges in Grid computing is efficient allocation of resources (CPU-hours, network bandwidth, etc.) to the tasks submitted by users. Due to the lack of centrali...
Aram Galstyan, Karl Czajkowski, Kristina Lerman
136
Voted
ATAL
2008
Springer
15 years 5 months ago
The intermediary agent's brain: supporting learning to collaborate at the inter-personal level
We discuss the design of the Intermediary Agent's brain, the control module of an embodied conversational virtual peer in a simulation game aimed at providing learning experi...
Juan Martínez-Miranda, Bernhard Jung, Sabin...
144
Voted
ECAI
2010
Springer
15 years 4 months ago
The Dynamics of Multi-Agent Reinforcement Learning
Abstract. Infinite-horizon multi-agent control processes with nondeterminism and partial state knowledge have particularly interesting properties with respect to adaptive control, ...
Luke Dickens, Krysia Broda, Alessandra Russo