Tag: Research

Policy Learning with Neural Cellular Automata

April 19, 2022 ResearchTechnical blogs

GoodAI grantee Sebastian Risi will conduct research to optimize neural cellular automata (NCA) to grow neural networks.

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A Conversation with Mayalen Etcheverry

Developing "curious" AI agents to autonomously discover and learn a diversity of structures and skills in their environments.

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A Conversation with Michael Levin

Evolution doesn't produce specific solutions to specific environmental problems. It produces problem solving machines. Machines that can solve problems in other spaces.

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New Horizons

February 03, 2022 AI Policy and SocietyResearch

GoodAI's Marek Havrda leaves his role as AI Policy and Social Impact Director to commence a new post in public administration.

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What are the differences between centralized learning (in monolithic systems) and decentralized learning (in multi-agent systems)?

January 18, 2022 ResearchTechnical blogs

Why are we studying social learning in multi-agent systems?

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Open Call for Papers for 2022 ICLR Workshop on Collective Learning

December 23, 2021 ResearchTechnical blogs

The 2022 workshop, “From Cells to Societies: Collective Learning Across Scales,” will examine natural systems to understand how collective interactions can contribute to new learning approaches in artificial learning systems.

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An Open-ended Environment for Lifelong Learning AI

December 07, 2021 ResearchTechnical blogs

Associate Professor Julian Togelius is working on a scalable generative AI benchmark that will allow for the development of open-ended learning, task transfer, and generalization.

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GPU Grant to Support TU Delft’s AI Research

November 30, 2021 ResearchTechnical blogs

Wendelin Böhmer investigates how restricted neural modules, similar to Badger agents, can learn generalizing sub-tasks and how a message passing architecture can reliably compose their output for out-of-distribution generalization.

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