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ICMLA
2010
15 years 14 days ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
119
Voted
ICMLA
2010
15 years 14 days ago
Robust Learning for Adaptive Programs by Leveraging Program Structure
Abstract--We study how to effectively integrate reinforcement learning (RL) and programming languages via adaptation-based programming, where programs can include non-deterministic...
Jervis Pinto, Alan Fern, Tim Bauer, Martin Erwig
149
Voted
ICML
1999
IEEE
16 years 3 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan
MSWIM
2004
ACM
15 years 8 months ago
Mobile dynamic content distribution networks
Mobile networks are becoming increasingly popular as a means for distributing information to a large number of users. In comparison to wired networks, mobile networks are distingu...
Wagner Moro Aioffi, Geraldo Robson Mateus, Jussara...
139
Voted
PPOPP
2006
ACM
15 years 8 months ago
Performance characterization of molecular dynamics techniques for biomolecular simulations
Large-scale simulations and computational modeling using molecular dynamics (MD) continues to make significant impacts in the field of biology. It is well known that simulations...
Sadaf R. Alam, Jeffrey S. Vetter, Pratul K. Agarwa...