Automated planning and scheduling
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We adapt the ideas underlying the success of Deep Q-Learning to the continuous action domain. We present an actor-critic, model… Expand 3D shape is a crucial but heavily underutilized cue in today's computer vision systems, mostly due to the lack of a good generic… Expand During the last decade, sampling-based path planning algorithms, such as probabilistic roadmaps (PRM) and rapidly exploring… Expand In this paper, we present a brief overview of Pellet: a complete OWL-DL reasoner with acceptable to very good performance… Expand Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided… Expand 1 Introduction and Overview I Classical Planning 2 Representations for Classical Planning*3 Complexity of Classical Planning*4… Expand We introduce the concept of a Rapidly-exploring Random Tree (RRT) as a randomized data structure that is designed for a broad… Expand The leading and most up-to-date textbook on the far-ranging algorithmic methododogy of Dynamic Programming, which can be used for… Expand Automated process planning (APP) has received a considerable amount of attention in recent years. This has mainly been due to APP… Expand This [reading] argues that […] spans of control, types of formalization and decentralization, planning systems, and matrix… Expand