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» Learning predictive representations from a history
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74
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ICRA
1995
IEEE
79views Robotics» more  ICRA 1995»
15 years 3 months ago
Learning to predict Resistive Forces During Robotic Excavation
— Few robot tasks require as forceful an interaction with the world as excavation. In order to effectively plan its actions, our robot excavator requires a method that allows it ...
Sanjiv Singh
MICRO
2003
IEEE
70views Hardware» more  MICRO 2003»
15 years 4 months ago
Fast Path-Based Neural Branch Prediction
Microarchitectural prediction based on neural learning has received increasing attention in recent years. However, neural prediction remains impractical because its superior accur...
Daniel A. Jiménez
94
Voted
IJCAI
1997
15 years 29 days ago
Using Case-Based Reasoning in Interpreting Unsupervised Inductive Learning Results
The objective of this work is to interpret inductive results obtained by the unsupervised learning method OSHAM. We briefly introduce the learning process of OSHAM, that extracts ...
Tu Bao Ho, Chi Main Luong
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
15 years 2 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
94
Voted
MICRO
1999
IEEE
123views Hardware» more  MICRO 1999»
15 years 3 months ago
Improving Branch Predictors by Correlating on Data Values
Branch predictors typically use combinations of branch PC bits and branch histories to make predictions. Recent improvements in branch predictors have come from reducing the effec...
Timothy H. Heil, Zak Smith, James E. Smith