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» Learning to Control in Operational Space
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126
Voted
ICRA
2000
IEEE
236views Robotics» more  ICRA 2000»
15 years 8 months ago
A General Learning Approach to Multisensor Based Control using Statistic Indices
We propose a concept for integrating multiple sensors in real-time robot control. To increase the controller robustness under diverse uncertainties, the robot systematically gener...
Yorck von Collani, Markus Ferch, Jianwei Zhang, Al...
160
Voted
ILP
2007
Springer
15 years 9 months ago
Structural Statistical Software Testing with Active Learning in a Graph
Structural Statistical Software Testing (SSST) exploits the control flow graph of the program being tested to construct test cases. Specifically, SSST exploits the feasible paths...
Nicolas Baskiotis, Michèle Sebag
138
Voted
ICRA
2010
IEEE
178views Robotics» more  ICRA 2010»
15 years 2 months ago
Autonomous operation of novel elevators for robot navigation
— Although robot navigation in indoor environments has achieved great success, robots are unable to fully navigate these spaces without the ability to operate elevators, includin...
Ellen Klingbeil, Blake Carpenter, Olga Russakovsky...
126
Voted
ML
1998
ACM
101views Machine Learning» more  ML 1998»
15 years 3 months ago
Elevator Group Control Using Multiple Reinforcement Learning Agents
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
Robert H. Crites, Andrew G. Barto
138
Voted
ATAL
2009
Springer
15 years 10 months ago
Integrating organizational control into multi-agent learning
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser