NSF Workshop on Learning and Approximate Dynamic Programming in Playacar, Mexico.

国家科学基金会关于学习和近似动态规划的研讨会将于2002年4月8日至10日在墨西哥的Playacar举行。研讨会的技术焦点是解决一个常见的横切问题：我们如何做到最好，使用基于学习的方法或同等的方法，开发通用设计，在非线性随机环境中，尝试最大化未来时间的预期效用总和，而不只是模拟整个未来？研讨会的一个重要目标是让不同领域的人团结起来，共同解决一些重要问题。因此，研讨会是高度跨学科的，受邀者是机器学习、控制系统理论和神经网络领域的世界领导者。技术方案旨在为参与者创造机会进行讨论，并为他们未来的工作组成团队。

The NSF Workshop on Learning and Approximate Dynamic Programming is proposed to take place on April 8-10, 2002, in Playacar, Mexico. The technical focus of the workshop is to address one common cross-cutting problem: how do we do our best, using learning-based approaches or the equivalent, to develop general-purpose designs to try to maximize the sum of expected utility over future time, in a nonlinear stochastic environment, without just simulating the entire future?An important goal of the workshop is to bring people in diverse areas to unify their efforts to tackle some important problems. The workshop is therefore highly interdisciplinary, and the invitees are world leaders in machine learning, control systems theory, and neural networks. The technical program is intended to create opportunities for participants to carry on discussions and to form teams for their future work.