MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence

2 Dec 20173 code implementations

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.

MULTI-AGENT REINFORCEMENT LEARNING

A System for Accessible Artificial Intelligence

1 May 20171 code implementation

While artificial intelligence (AI) has become widespread, many commercial AI systems are not yet accessible to individual researchers nor the general public due to the deep knowledge of the systems required to use them.

SAI, a Sensible Artificial Intelligence that plays Go

11 Sep 20181 code implementation

We propose a multiple-komi modification of the AlphaGo Zero/Leela Zero paradigm.

AlphaGomoku: An AlphaGo-based Gomoku Artificial Intelligence using Curriculum Learning

27 Sep 20181 code implementation

In this project, we combine AlphaGo algorithm with Curriculum Learning to crack the game of Gomoku.

AI Programmer: Autonomously Creating Software Programs Using Genetic Algorithms

17 Sep 20171 code implementation

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.

Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification Systems

4 Aug 20181 code implementation

Second, we develop the first open-source software for practical artificially intelligent one-shot classification systems with limited resources for the benefit of researchers in related fields.

INTRUSION DETECTION OMNIGLOT ONE-SHOT LEARNING

Explanation in Artificial Intelligence: Insights from the Social Sciences

22 Jun 20171 code implementation

There has been a recent resurgence in the area of explainable artificial intelligence as researchers and practitioners seek to make their algorithms more understandable.

Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care?

8 Feb 20191 code implementation

The results of studies involving machine learning, artificial intelligence (AI), and big data have captured the attention of healthcare practitioners, healthcare managers, and the public at a time when Western medicine grapples with unmitigated cost increases and public demands for accountability.

Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments

NeurIPS 2019 1 code implementation

We develop a statistical learning approach to the estimation of heterogeneous effects, reducing the problem to the minimization of an appropriate loss function that depends on a set of auxiliary models (each corresponding to a separate prediction task).

DaiMoN: A Decentralized Artificial Intelligence Model Network

19 Jul 20191 code implementation

A main feature of DaiMoN is that it allows peers to verify the accuracy improvement of submitted models without knowing the test labels.