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Hard Questions: Are We Winning the War On Terrorism Online? - meta.com
Hard Questions: Are We Winning the War On Terrorism Online? meta.com
Getting Our Community Help in Real Time - meta.com
Getting Our Community Help in Real Time meta.com
A look back at 10 years of the Amazon Kindle - About Amazon
A look back at 10 years of the Amazon Kindle About Amazon
Introducing our first airplane: Amazon One - About Amazon
Introducing our first airplane: Amazon One About Amazon
Send Money to Friends in Messenger – Now in Euros and British Pounds - meta.com
Send Money to Friends in Messenger – Now in Euros and British Pounds meta.com
Amazon’s Joining Forces pledge - About Amazon
Amazon’s Joining Forces pledge About Amazon
Semi – Electric Semi Truck - Tesla
Semi – Electric Semi Truck Tesla
Speaker of Hungarian Parliament addresses in Budapest
Laszlo Kover (1st L), Speaker of the Hungarian Parliament, speaks at a conference of the parliament speakers of the Western Balkans in Budapest, Hungary on Oct. 27, 2017.
Celebrate Halloween With Spook-tacular Features From Facebook and Messenger - meta.com
Celebrate Halloween With Spook-tacular Features From Facebook and Messenger meta.com
Update on Our Advertising Transparency and Authenticity Efforts - meta.com
Update on Our Advertising Transparency and Authenticity Efforts meta.com
Learning a hierarchy
We’ve developed a hierarchical reinforcement learning algorithm that learns high-level actions useful for solving a range of tasks, allowing fast solving of tasks requiring thousands of timesteps. Our algorithm, when applied to a set of navigation problems, discovers a set of high-level actions for walking and crawling in different directions, which enables the agent to master new navigation tasks quickly.
Learning a hierarchy
We’ve developed a hierarchical reinforcement learning algorithm that learns high-level actions useful for solving a range of tasks, allowing fast solving of tasks requiring thousands of timesteps. Our algorithm, when applied to a set of navigation problems, discovers a set of high-level actions for walking and crawling in different directions, which enables the agent to master new navigation tasks quickly.
glamazon at Amazon: eighteen years of change - About Amazon
glamazon at Amazon: eighteen years of change About Amazon
Amazon goes gold - About Amazon
Amazon goes gold About Amazon
Generalizing from simulation
Our latest robotics techniques allow robot controllers, trained entirely in simulation and deployed on physical robots, to react to unplanned changes in the environment as they solve simple tasks. That is, we’ve used these techniques to build closed-loop systems rather than open-loop ones as before.
Generalizing from simulation
Our latest robotics techniques allow robot controllers, trained entirely in simulation and deployed on physical robots, to react to unplanned changes in the environment as they solve simple tasks. That is, we’ve used these techniques to build closed-loop systems rather than open-loop ones as before.
Tesla Announces Date for Third Quarter 2017 Financial Results and Webcast - Tesla Investor Relations
Tesla Announces Date for Third Quarter 2017 Financial Results and Webcast Tesla Investor Relations
Spotlight: What's behind abrupt U.S. withdrawal from UNESCO?
The world has long been used to U.S. President Donald Trump taking a stance against multilateralism. Still, the sudden U.S. announcement Thursday to retreat from UNESCO -- the United Nations Educational, Scientific and Cultural Organization -- raised eyebrows worldwide.
Spotlight: What's behind abrupt U.S. withdrawal from UNESCO?
The world has long been used to U.S. President Donald Trump taking a stance against multilateralism. Still, the sudden U.S. announcement Thursday to retreat from UNESCO -- the United Nations Educational, Scientific and Cultural Organization -- raised eyebrows worldwide.
Meta-learning for wrestling
We show that for the task of simulated robot wrestling, a meta-learning agent can learn to quickly defeat a stronger non-meta-learning agent, and also show that the meta-learning agent can adapt to physical malfunction.