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ICML
2007
IEEE
14 years 11 months ago
Map building without localization by dimensionality reduction techniques
This paper proposes a new map building framework for mobile robot named Localization-Free Mapping by Dimensionality Reduction (LFMDR). In this framework, the robot map building is...
Takehisa Yairi
NN
2007
Springer
105views Neural Networks» more  NN 2007»
13 years 10 months ago
Guiding exploration by pre-existing knowledge without modifying reward
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
Kary Främling
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
14 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
ALT
2006
Springer
14 years 7 months ago
Teaching Memoryless Randomized Learners Without Feedback
The present paper mainly studies the expected teaching time of memoryless randomized learners without feedback. First, a characterization of optimal randomized learners is provided...
Frank J. Balbach, Thomas Zeugmann
OSDI
1996
ACM
14 years 6 days ago
Safe Kernel Extensions Without Run-Time Checking
This paper describes a mechanism by which an operating system kernel can determine with certainty that it is safe to execute a binary supplied by an untrusted source. The kernel r...
George C. Necula, Peter Lee