Learning from experimentation allows a system to acquire planning domain knowledge by correcting its knowledge when an action execution fails. Experiments are designed and planned...
Implementing and maintaining complicated manufacturing processes in an error-free mode is essential to the survival of any manufacturing business. One essential element to realizi...
Abstract. Validation can be used to detect when over tting starts during supervised training of a neural network; training is then stopped before convergence to avoid the over ttin...
2 Computational Theory The processing of biological specimens or the 2.1 Overview examination of material surfaces for quality control requires a fast and precise autofocus system....
Although in theory opponent modeling can be useful in any adversarial domain, in practice it is both difficult to do accurately and to use effectively to improve game play. In thi...
Kennard Laviers, Gita Sukthankar, David W. Aha, Ma...