Download PDF Abstract: Learning-based driving solution, a new branch for autonomous driving, is expected to simplify the modeling of...

Download PDF Abstract: Learning Path Recommendation is the heart of adaptive learning, the educational paradigm of an Interactive Educational...

Download PDF Abstract: We study episodic reinforcement learning in Markov decision processes when the agent receives additional feedback per...

Download PDF Abstract: We report experimental extensions of Lenia, a continuous cellular automata family capable of producing lifelike self-organizing...

Inspired by the biomechanics of cheetahs, researchers have developed a new type of soft robot that is capable of moving more quickly on solid surfaces or in the water than previous generations of soft robots. The new soft robotics are also capable of grabbing objects delicately -- or with sufficient strength to lift heavy objects.

Download PDF Abstract: In this paper we introduce plan2vec, an unsupervised representation learning approach that is inspired by reinforcement...

Download PDF Abstract: Increasing number of sectors which affect human lives, are using Machine Learning (ML) tools. Hence the...

Download PDF Abstract: In ASPIC-style structured argumentation an argument can rebut another argument by attacking its conclusion. Two ways...

Download PDF Abstract: We present a new system, EEV, for verifying binarized neural networks (BNNs). We formulate BNN verification...

Download PDF Abstract: Predicate constraints of general-purpose knowledge bases (KBs) like Wikidata, DBpedia and Freebase are often limited to...

Download PDF Abstract: In this paper, we study the problem of fair classification in the presence of prior probability...

Download PDF Abstract: In recent years, deep neural networks have been applied to obtain high performance of prediction, classification,...