United Kingdom

AAMAS is the largest and most influential conference in the area of agents and multiagent systems, bringing together researchers and practitioners in all areas of agent technology and providing and internationally renowned high-profile forum for publishing and finding out about the latest developments in the field. AAMAS is the flagship conference of the non-profit International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).  

![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/ce4604bd54468a006164d16e080204fb.jpg)

Please click on the button below to register for this event.

If you are registered and see this page please check the account email you are logged in with. It must be the same as for the registration.

If you still have trouble accessing the contact please contact support at aamas2021@underline.io 

AAMAS 2021

The International Conference on Electron, Ion and Photon Beam Technology and Nanofabrication (EIPBN), affectionately known as "3-Beams," is the premier gathering of scientists and engineers who are dedicated to electron, ion and photon lithography, imaging, and analysis; atomically precise fabrication; nanofabrication process technologies and related emerging technologies; and their applications in a broad spectrum of fields. In its 64th meeting, researchers from academia, government laboratories, and industry from around the world meet to present and discuss recent and future trends in these technologies.
 
 
 
[![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/4bdf4450aa93073cd684b096b403df2e.png)](https://drive.google.com/file/d/1CPaA3-Yf7_maBxJMUJaUORLF3HGO9CIe/view?usp=sharing) [![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/cea8a407085dee5422a2c16738ce27ca.png)](https://eipbn.org/abstracts/2021/)

To register for this event, please follow the link below.

EIPBN 2021

We study a variant of the continuous multi-armed bandits problem, where the objective is to estimate the sensitivity threshold for an unknown psychometric function ¶si. This setting models the conduct of a psychometric experiment, which aims at quantifying human perception. We show that this setting is akin to hierarchical multi-armed bandits and Black-box optimization of noisy functions, with both significant similarities and key differences. We introduce a new algorithm, DOS, for Dichotomous Optimistic Search, that efficiently solves this task, and show that DOS outperforms recent methods from both Psychophysics and Global Optimization for non Gaussian Psychometric functions in our experiments.

Quantifying Human Perception with Multi-Armed Bandits

poster

Scalable Multiple Robot Task Planning with Plan Merging and Conflict Resolution

Quantifying Human Perception with Multi-Armed Bandits

Next from AAMAS 2021

Scalable Multiple Robot Task Planning with Plan Merging and Conflict Resolution

Similar lecture

Computational Nanometrology in Line Edge Roughness Measurements: Noise and Pixelization Effects