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Google's Artificial Intelligence Built an AI That Outperforms Any Made by Humans

2017-12-01 futurism.com 2,321 AI ArtificialIntelligence Future AutoML ReinforcementLearning Automation

Google's AutoML, an AI that can build AI, has now developed a computer vision system that vastly outperforms state-of-the-art-models.
Artificial Intelligence: What's The Difference Between Deep Learning And Reinforcement Learning?

2018-10-22 www.forbes.com 887 ArtificialIntelligence DeepLearning IoT ML ReinforcementLearning Futuretech

There are lots of artificial intelligence buzzwords making the rounds these days and it can be hard to understand the differences and keep up. Datasets are getting bigger and compute power is getting stronger, so artificial intelligence continues to mature.
GitHub - microsoft/tensorwatch: Debugging, monitoring and visualization for Deep Learning and Reinforcement Learning

2019-05-22 github.com 89 ai DeepLearning ReinforcementLearning MachineLearning

Debugging, monitoring and visualization for Deep Learning and Reinforcement Learning - microsoft/tensorwatch
Creating a Zoo of Atari-Playing Agents to Catalyze the Understanding of Deep Reinforcement Learning

2019-01-09 eng.uber.com 66 reinforcementlearning

Uber AI Labs releases Atari Model Zoo, an open source repository of both trained Atari Learning Environment agents and tools to better understand them.
Reinforcement learning comes into AI’s mainstream

2018-11-28 www.infoworld.com 59 ReinforcementLearning

Developers now have the tools to get started with this revolutionary technology that is poised to become mainstream
Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C#: Arnaldo Pérez Castaño: 9781484233566: Amazon.com: Books

2018-07-13 www.amazon.com 28 ArtificialIntelligence reinforcementlearning IOT

Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C# [Arnaldo Pérez Castaño] on Amazon.com. *FREE* shipping on qualifying offers.
Discover how all levels Artificial Intelligence (AI) can be present in the most unimaginable scenarios of ordinary lives. This book explores subjects such as neural networks
A Map of Reinforcement Learning

2019-01-04 louiskirsch.com 20 Reinforcementlearning

Reinforcement Learning promises to solve the problem of designing intelligent agents in a formal but simple framework. This blog post aims at tackling the massive quantity of approaches and challenges in Reinforcement Learning, providing an overview of the different challenges researchers are working on and the methods they devised to solve these problems.
[1903.00374] Model-Based Reinforcement Learning for Atari

2019-03-04 arxiv.org 10 reinforcementlearning

Model-free reinforcement learning (RL) can be used to learn effective policies for complex tasks, such as Atari games, even from image observations. However, this typically requires very large amounts of interaction -- substantially more, in fact, than a human would need to learn the same games. How can people learn so quickly? Part of the answer may be that people can learn how the game works and predict which actions will lead to desirable outcomes. In this paper, we explore how video predicti[...]