Learning to Guide Task and Motion Planning Using Score-Space Representation

Abstract This paper proposes a learning algorithm to speed up search in Task and Motion Planning problems (TAMP), and to solve three challenges in order to improve planning efficiency. These challenges are: what to predict, how to represent a planning problem instance, and how to transfer knowledge from one problem instance to another. The proposed […]

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Exploring Sparsity in Recurrent Neural Networks

Recurrent Neural Networks (RNN) are widely used to solve a variety of problems, and as the quantity of data and the amount of available computing power have increased, so have model sizes. The number of parameters in recent state-of-the-art networks makes them hard to deploy, especially on mobile phones and embedded devices. The challenge is […]

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Basics of Computational Reinforcement Learning

Link: http://videolectures.net/rldm2015_littman_computational_reinforcement/ In machine learning, reinforcement learning plays an important role. It stems from the system’s decision-making ability to be improved through interacting with the world and evaluating feedback. This tutorial introduces basic concepts and vocabulary in this field. Additionally, the tutorial shows us recent advances in the theory and practice of reinforcement learning. To […]

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Big Picture Machine Learning: Classifying Text with Neural Networks and TensorFlow

In this article, the author discusses the main six topics about creating a machine learning model to classify texts into categories: 1. How TensorFlow works 2. What is a machine learning model 3. What is a Neural Network 4. How the Neural Network learns 5. How to manipulate data and pass it to the Neural […]

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Why AlphaGo is not AI

Abstract “There is no AI without robotics,” argued the author, Jean-Christophe Baillie, founder and president of Novaquark. In this article, he addresses what AI is, and why AlphaGo is not AI. Photo 1: AlphaGo. What is AI and What is not AI? There is no doubt that AlphaGo, the Go-playing artificial intelligence designed by Google […]

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Deep learning

Deep learning (deep machine learning, or deep structured learning, or hierarchical learning, or sometimes DL) is a branch ofmachine learning based on a set of algorithms that attempt to model high-level abstractions in data by using multiple processing layers with complex structures or otherwise, composed of multiple non-linear transformations.[1][2][3][4][5] Deep learning is part of a […]

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Artificial Intelligence

Course Highlights This course includes interactive demonstrations which are intended to stimulate interest and to help students gain intuition about how artificial intelligence methods work under a variety of circumstances. Course Description This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should […]

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kryptos

In 1988, as a new headquarters for the American Central Intelligence Agency (CIA) was being built in Langley, Virgina, sculptor Jim Sanborn was commissioned to create artwork for the courtyard of the new building. In 1999, a computer scientist named Jim Gillogly announced that he had solved most of the puzzle. There were four distinct […]

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rongorongo

The Bishop questioned the Rapanui wise man, Ouroupano Hinapote, the son of the wise man Tekaki [who said that] he, himself, had begun the requisite studies and knew how to carve the characters with a small shark’s tooth. He said that there was nobody left on the island who knew how to read the characters […]

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