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ESANN
2007
13 years 7 months ago
The Recurrent Control Neural Network
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
Anton Maximilian Schäfer, Steffen Udluft, Han...
CORR
2011
Springer
175views Education» more  CORR 2011»
13 years 29 days ago
Adaptive Channel Recommendation for Dynamic Spectrum Access
—We propose a dynamic spectrum access scheme where secondary users recommend “good” channels to each other and access accordingly. We formulate the problem as an average rewa...
Xu Chen, Jianwei Huang, Husheng Li
ALDT
2011
Springer
251views Algorithms» more  ALDT 2011»
12 years 6 months ago
Game Theory and Human Behavior: Challenges in Security and Sustainability
Security and sustainability are two critical global challenges that involve the interaction of many intelligent actors. Game theory provides a sound mathematical framework to model...
Rong Yang, Milind Tambe, Manish Jain, Jun-young Kw...
IJCAI
2003
13 years 7 months ago
Simultaneous Adversarial Multi-Robot Learning
Multi-robot learning faces all of the challenges of robot learning with all of the challenges of multiagent learning. There has been a great deal of recent research on multiagent ...
Michael H. Bowling, Manuela M. Veloso
SIGGRAPH
2000
ACM
13 years 10 months ago
Interactive control for physically-based animation
We propose the use of interactive, user-in-the-loop techniques for controlling physically-based animated characters. With a suitably designed interface, the continuous and discret...
Joseph Laszlo, Michiel van de Panne, Eugene Fiume