Badger Architecture
Badger Architecture is the culmination of five years of work at GoodAI. We developed an understanding that what we want is an agent that can quickly adapt to novel tasks.
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“Develop safe general artificial intelligence – as fast as possible – to help humanity and understand the universe.”
Badger Seminars
We run the series of Badger Seminars to bring together world-renowned experts in order to advance the field of life-long learning, meta-learning, multi-agent learning and other directions that we believe are relevant for building generally intelligent agents.
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GoodAI Research Roadmap 2021/2022
In 2021/22 GoodAI will focus on four core research areas: learning to learn, lifelong (gradual) learning, open-endedness, and generalization/extrapolation of meta-learned algorithms.
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GoodAI Grants
GoodAI is continuously awarding grants to research projects that push the boundaries of artificial intelligence.
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Open Call for Papers for 2022 ICLR Workshop on Collective Learning
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
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
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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