Carnegie Mellon Robotics Institute
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| Research Interests |
My primary work is in the Learning Robot Laboratory, attempting to develop robots which learn from experience and in the real world. Initially I focussed on reinforcement learning: an inductive method for learning control strategies based on delayed reward. A tangible contribution of this work was developing one of the first applications of "reinforcement learning" from vision in a real world complex domain (that is, to fixate and approach a cup). While seeing that such learning techniques could be successful in acquiring control strategies for simple robot tasks, currently we are researching learning techniques which will scale up to more complex and realistic tasks. |
| Additional Interests |
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| Research Interest Keywords |
| machine learning, mobile robots |
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