AI News, play Inside DeepMind

play Inside DeepMind

This paper published in Nature on 26th February 2015, describes a DeepRL system which combines Deep Neural Networks with Reinforcement Learning at scale for the first time, and is able to master a diverse range of Atari 2600 games to superhuman level with only the raw pixels and score as inputs.

With our algorithm, we leveraged recent breakthroughs in training deep neural networks to show that a novel end-to-end reinforcement learning agent, termed a deep Q-network (DQN), was able to surpass the overall performance of a professional human reference player and all previous agents across a diverse range of 49 game scenarios.

Showing 1–50 of 55 results for author: Munos, R

We study improving the computational complexity of such algorithms by using stochastic gradient descent (SGD) type schemes in place of classic regression solvers.

We study improving the computational complexity of such algorithms by using stochastic gradient descent (SGD) type schemes in place of classic regression solvers.

In the case when strong convexity in the regression problem is guaranteed, we provide bounds on the error both in expectation and high probability (the latter is often needed to provide theoretical guarantees for higher level algorithms), despite the drifting least squares solution.

As an example of this case we prove that the regret performance of an SGD version of the PEGE linear bandit algorithm [Rusmevichientong and Tsitsiklis 2010] is worse that that of PEGE itself only by a factor of $O(\log^4 n)$.

These experiments show a large gain in computational complexity, with a consistently low tracking error and click-through-rate (CTR) performance that is $75\%$ close.

Deep Reinforcement Learning and GANs: Advanced Topics in Deep Learning

Generative Adversarial Networks cast two Deep Learning networks against each other in a “forger-detective” relationship, enabling the fabrication of stunning, photorealistic images with flexible, user-specifiable elements.

Deep RL involves training an “agent” to become adept in given “environments,” enabling algorithms to meet or surpass human-level performance on a diverse range of complex challenges, including Atari video games, the board game Go, and subtle hand-manipulation tasks.

Throughout these lessons, essential theory is brought to life with intuitive explanations and interactive, hands-on Jupyter notebook demos.

UK TechDays Online is back!

This summer, we're setting up studio at the Microsoft Reactor in London and broadcasting through London Tech Week, bringing you a mix of deep technical ...

The Ethics and Governance of AI opening event, February 3, 2018

Chapter 1: 0:04 - Joi Ito Chapter 2: 1:03:27 - Jonathan Zittrain Chapter 3: 2:32:59 - Panel 1: Joi Ito moderates a panel with Pratik Shah, Karthik Dinakar, and ...

Towards Machines that Perceive and Communicate

Kevin Murphy (Google Research) Abstract: In this talk, I summarize some recent work in my group related to visual scene understanding and "grounded" ...

Google Developer Days Europe 2017 - Day 2 (Auditorium)

Check in to the livestream to watch day 2 of GDD Europe '17! This livestream will cover all sessions taking place on the Auditorium stage of the ICE Congress ...

New Perspectives on Health & Literacy

The Library sponsored a day-long symposium on literacy and heath, focusing on literacy in all its forms and how literacy affects personal well-being. The event ...

Realities and Realms: Responsive Technologies in Ecological Systems, Part 1

The Realities and Realms colloquium focuses on the role of computation and robotics in landscape architecture and the expanding sensorial field of the built ...

20160321 MLDM Monday -- AlphaGo in Depth

I'm Mark, the speaker of this talk. I'm trying to make its English subtitle. Now, I only translate it to 27:00 I'll try my best to complete this translation in the next three ...

2018 PHMSA Hazardous Materials Safety Research and Development Forum -- Day 1

PHMSA held a Hazardous Materials Safety Research and Development Forum on May 16 and 17, 2018, in Washington, D.C., to present the results of recently ...

Hans-Hermann Hoppe - Democracy: The God That Failed - Audiobook (Google WaveNet Voice)

The core of this book is a systematic treatment of the historic transformation of the West from monarchy to democracy. Source: ...

Ant

Ants are social insects of the family Formicidae /fɔrˈmɪsɨdiː/ and, along with the related wasps and bees, belong to the order Hymenoptera. Ants evolved ...