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» Learning to Drive and Simulate Autonomous Mobile Robots
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TROB
2008
164views more  TROB 2008»
13 years 7 months ago
Dynamic Assignment in Distributed Motion Planning With Local Coordination
Distributed motion planning of multiple agents raises fundamental and novel problems in control theory and robotics. In particular, in applications such as coverage by mobile senso...
Michael M. Zavlanos, George J. Pappas
ECAL
2001
Springer
14 years 4 days ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
CHI
2011
ACM
12 years 11 months ago
Modeling users of intelligent systems
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
Stephanie Rosenthal
FLAIRS
2003
13 years 9 months ago
Cost-Based Policy Mapping for Imitation
Imitation represents a powerful approach for programming and autonomous learning in robot and computer systems. An important aspect of imitation is the mapping of observations to ...
Srichandan V. Gudla, Manfred Huber
IROS
2008
IEEE
104views Robotics» more  IROS 2008»
14 years 2 months ago
Kinematic study of the spider system in a biomimetic perspective
— The spiders’ ability of walking and climbing on different surfaces and in different conditions is taken into account in this paper in order to define and study a suitable sp...
Alessandro Gasparetto, Renato Vidoni, Tobias Seidl