This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
During that time, most of my main research has been motivated by the goal of developing a theoretical foundation for the field of reward learning. The purpose of this sequence is to explain and motivate this research agenda, and to provide an accessible overview over some of my results. Are there things it cannot express?
This call spurred the increasing demand for program evaluation. In your organization, this may look like negative attitudes toward evaluation, poor research designs and collecting data but not using the data. The root problem here is poor evaluation capacity. The root problem here is poor evaluation capacity.
Paul Schoemaker, founder and executive chairman of Decision Strategies international and research director of Wharton’s Mack Center for technological innovation, shares critical insights on the benefits of making well-chosen mistakes. The model balances content, learning design, and participants. Now You See It by Cathy Davidson.
Designing and delivering a training to a nonprofit audience is not about extreme content delivery or putting together a PowerPoint and answering questions. If you want to get results, you need to think about instructional design and learningtheory. And, there is no shortage of learningtheories and research.
Published on February 8, 2025 1:40 AM GMT The Open Philanthropy has just launched a large new Request for Proposals for technical AI safety research. Here we're sharing a reference guide , created as part of that RFP, which describes what projects we'd like to see across 21 research directions in technical AI safety.
Posted by Catherine Armato, Program Manager, Google The Eleventh International Conference on Learning Representations (ICLR 2023) is being held this week as a hybrid event in Kigali, Rwanda. We are proud to be a Diamond Sponsor of ICLR 2023, a premier conference on deep learning, where Google researchers contribute at all levels.
It makes learning more open and encourages employees to overcome their hesitations. For example,GyrusAim promotes social learning by allowing employees to interact, share their viewpoints, research, and learning’s, and engage in real-time discussions on particular topics — through discussion forums, user-generated content tools, etc.
It makes learning more open and encourages employees to overcome their hesitations. For example,GyrusAim promotes social learning by allowing employees to interact, share their viewpoints, research, and learning’s, and engage in real-time discussions on particular topics — through discussion forums, user-generated content tools, etc.
It makes learning more open and encourages employees to overcome their hesitations. For example,GyrusAim promotes social learning by allowing employees to interact, share their viewpoints, research, and learning’s, and engage in real-time discussions on particular topics — through discussion forums, user-generated content tools, etc.
There were times when coordinating a fire art festival while researching social capital theory made me want to burn my computer. The purpose of my thesis was two-fold: To research and analyze community and civic engagement practices, methods, theories and examples in other museum programs.
The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret In this paper , we look at what happens when a learnt reward function is optimised. In the next post in this sequence, which is also the final, I will discuss how to contribute to the theoretical reward learningresearch agenda.
Beth has over 30 years working in the nonprofit sector in technology, training, capacity building, evaluation, fundraising and marketing. Beth is an expert in facilitating online and offline peer learning, curriculum development based on traditional adult learningtheory and other instructional approaches.
NeurIPS 2022 will be held as a hybrid event, in person in New Orleans, LA with some virtual attendance options, and includes invited talks, demonstrations and presentations of some of the latest in machine learningresearch.
Jason is a researcher interested in mechanistic interpretability and software verification. I mean, I guess this is active research, so I suppose things could evolve by the time this podcast goes out. And I was research-managing Wilson while he did this project. In this episode Ill be speaking with Jason Gross.
We organize all of the trending information in your field so you don't have to. Join 12,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content