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NIPS
1993
13 years 8 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...
IJCAI
1989
13 years 8 months ago
Integrating Knowledge-Based System and Neural Network Techniques for Robotic Skill Acquisition
This paper describes an approach to robotic control that is patterned after models of human skill acquisition. The intent is to develop robots capable of learning how to accomplis...
David Handelman, Stephen Lane, Jack Gelfand
AIED
2007
Springer
13 years 11 months ago
Towards promoting meta-cognition using emotive interface personas within Open-Learner Modelling Environments
: The use of Open-Learner Modelling (OLM) within Intelligent Learning Environments is becoming more common. By allowing learners a greater control over their learning experience, O...
Sylvie Girard
SMC
2007
IEEE
150views Control Systems» more  SMC 2007»
14 years 1 months ago
An intelligent knowledge sharing system for web communities
— This paper presents the prototype of an expert peering system for information exchange in the knowledge society. Our system realizes an intelligent, real-time search engine for...
Christian Bauckhage, Tansu Alpcan, Sachin Agarwal,...
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
14 years 1 months ago
Autonomous blimp control using model-free reinforcement learning in a continuous state and action space
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
Axel Rottmann, Christian Plagemann, Peter Hilgers,...