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» Using model knowledge for learning inverse dynamics
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131
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NIPS
1993
15 years 3 months ago
Robust Reinforcement Learning in Motion Planning
While exploring to nd better solutions, an agent performing online reinforcement learning (RL) can perform worse than is acceptable. In some cases, exploration might have unsafe, ...
Satinder P. Singh, Andrew G. Barto, Roderic A. Gru...
122
Voted
ACL
2011
14 years 6 months ago
Learning to Win by Reading Manuals in a Monte-Carlo Framework
This paper presents a novel approach for leveraging automatically extracted textual knowledge to improve the performance of control applications such as games. Our ultimate goal i...
S. R. K. Branavan, David Silver, Regina Barzilay
ISF
2008
210views more  ISF 2008»
15 years 2 months ago
Affective e-Learning in residential and pervasive computing environments
This article examines how emerging pervasive computing and affective computing technologies might enhance the adoption of ICT in e-Learning which takes place in the home and wider ...
Liping Shen, Victor Callaghan, Ruimin Shen
96
Voted
ROBOCUP
2005
Springer
146views Robotics» more  ROBOCUP 2005»
15 years 8 months ago
Using a Symmetric Rotor as a Tool for Balancing
Abstract. In the Humanoid Leagues balancing during walking and running is still the biggest challenge for most of the teams. We present here some work in which a dynamic walker is ...
Norbert Michael Mayer, Minoru Asada, Rodrigo da Si...
ACL
2009
15 years 10 days ago
Multi-Task Transfer Learning for Weakly-Supervised Relation Extraction
Creating labeled training data for relation extraction is expensive. In this paper, we study relation extraction in a special weakly-supervised setting when we have only a few see...
Jing Jiang