Unlike previous research platforms on single or multi-agent reinforcement learning, MAgent focuses on supporting the tasks and the applications that require hundreds to millions of agents.
Smarter applications are making better use of the insights gleaned from data, having an impact on every industry and research discipline.
Poker is the quintessential game of imperfect information, and a longstanding challenge problem in artificial intelligence.
Legal Artificial Intelligence (LegalAI) focuses on applying the technology of artificial intelligence, especially natural language processing, to benefit tasks in the legal domain.
Materials and Methods In this retrospective and multi-center study, a deep learning model, COVID-19 detection neural network (COVNet), was developed to extract visual features from volumetric chest CT exams for the detection of COVID-19.
We propose a multiple-komi modification of the AlphaGo Zero/Leela Zero paradigm.
We present VERIFAI, a software toolkit for the formal design and analysis of systems that include artificial intelligence (AI) and machine learning (ML) components.
In this project, we combine AlphaGo algorithm with Curriculum Learning to crack the game of Gomoku.
In this paper, we present the first-of-its-kind machine learning (ML) system, called AI Programmer, that can automatically generate full software programs requiring only minimal human guidance.