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Multi-Channel Interactive Reinforcement Learning for Sequential Tasks

On Sep 24, 2020
@FrontRoboticsAI shared
New Research: Multi-Channel Interactive Reinforcement Learning for Sequential Tasks: The ability to learn new tasks by sequencing already known skills is an important requirement for future robots. Reinforcement learning is a powerful tool… https://t.co/Kk6F0WmFKF #Robotics #AI
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The ability to learn new tasks by sequencing already known skills is an important requirement for future robots. Reinforcement learning is a powerful tool for this as it allows for a robot to learn and improve on how to combine skills for sequential tasks. ...

www.frontiersin.org
On Sep 24, 2020
@FrontRoboticsAI shared
New Research: Multi-Channel Interactive Reinforcement Learning for Sequential Tasks: The ability to learn new tasks by sequencing already known skills is an important requirement for future robots. Reinforcement learning is a powerful tool… https://t.co/Kk6F0WmFKF #Robotics #AI
Open

Multi-Channel Interactive Reinforcement Learning for Sequential Tasks

Multi-Channel Interactive Reinforcement Learning for Sequential Tasks

The ability to learn new tasks by sequencing already known skills is an important requirement for future robots. Reinforcement learning is a powerful tool for this as it allows for a robot ...

Computer scientists teach robots human process of trial and error to improve movement

Computer scientists teach robots human process of trial and error to improve movement

A robotic arm has been taught to assess its actions based on trial and error, allowing it to learn from past mistakes

Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems

Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems

This paper was motivated by the problem of how to make robots fuse and transfer their experience so that they can effectively use prior knowledge and quickly adapt to new environments. ...

Artificial Intelligence and Robotics for Beginners

Artificial Intelligence and Robotics for Beginners

Then we train a simple two wheeled robot in a virtual environment using methods from reinforcement learning. We build robots from standard components and transfer the trained neural network ...

Imitation Learning and its Challenges in Robotics

Imitation Learning and its Challenges in Robotics

This ability to imitate by learning from demonstrations has inspired research across many disciplines like anthropology, neuroscience, psychology, and artificial intelligence. In AI, ...

Google Teaches Robots To Walk On Their Own, Skynet Overlords Are Pleased

Google Teaches Robots To Walk On Their Own, Skynet Overlords Are Pleased

Google researchers have taken things to the next level with robots that are able to perform basic functions that we take for granted completely on their own.

Robots in Depth

Robots in Depth

Carbon Robotics makes advanced robotics dramatically more accessible to help solve some of society's most intractable problems.

I think … therefore I might be a material handling robot: interview with Ted Stinson

I think … therefore I might be a material handling robot: interview with Ted Stinson

The days when robots were limited to a set of preprogrammed responses are over. Today’s AI-enabled bots are able to analyze, adapt, and even learn from each other, says Ted Stinson of AI ...

Learning Trajectory Distributions for Assisted Teleoperation and Path Planning

Learning Trajectory Distributions for Assisted Teleoperation and Path Planning

Several approaches have been proposed to assist humans in co-manipulation and teleoperation tasks given demonstrated trajectories. However, these approaches are not applicable when the ...

It is all Reinforcement learning at Facebook’s New Robotics Lab

It is all Reinforcement learning at Facebook’s New Robotics Lab

Facebook developers have been working on the new red and black Sawyer robot arm trying to make it wave all over the place with a mechanical whine. The Sawyer robot uses reinforcement ...

Learn Dexterous Manipulation on a Real Robot

Learn Dexterous Manipulation on a Real Robot

Each team will have a budget of more than 100 real-robot-hours on high-performance robotic platforms hosted at the Max Planck Institute for Intelligent Systems in Tübingen. The purpose of ...

Robots learn tasks from people with framework developed by Stanford researchers

Robots learn tasks from people with framework developed by Stanford researchers

With a smartphone and a browser, people worldwide will be able to interact with a robot to speed the process of teaching robots how to do basic tasks.

How Reinforcement Learning Could One Day Transform Your Industrial Robot Operation

How Reinforcement Learning Could One Day Transform Your Industrial Robot Operation

Reinforcement learning, a way for robots to learn based on repeated interactions with an environment, could one day transform your robot operation.

Finally, a Smart Robot That Can Cook and Serve Us Hot Dogs

Finally, a Smart Robot That Can Cook and Serve Us Hot Dogs

All it took was lots of practice on a virtual grill.

Robots Use AI to Learn from Their Mistakes

Robots Use AI to Learn from Their Mistakes

Robot arm uses trial and error to solve problems.

If You Want a Robot to Learn Better, Be a Jerk to It

If You Want a Robot to Learn Better, Be a Jerk to It

When humans give robots “tough love” by trying to knock objects out of their hands, it actually helps them find the best ways to hold things.

Google teaches robots how to recognize objects by interacting with their environment

Google teaches robots how to recognize objects by interacting with their environment

In a blog post and accompanying paper, Google researchers detail a system that "teaches" robots about objects from real-world interactions.