| "Learning in Embedded Systems", Leslie Pack Kaelbling, Ph.D. Thesis, Stanford. |
....Life techniques to evolve programs to control physically embodied mobile robots, so that we no longer have to do it all by hand. There have been no reports to date of programs evolved for embodied robots. There has been work on learning new behaviors using reinforcement learning, e.g. [Kaelbling 90] and [Mahadevan and Connell 90] used Q 1earning ( Watkins 89] The major drawback is the large number of runtime trials, many more than needed by real animals, and the need for carefully shaping the learning by splitting up the tasks into little pieces that the robot learns sequentially. It ....
"Learning in Embedded Systems", Leslie Pack Kaelbling, Ph.D. Thesis, Stanford.
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