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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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Meta-Learning & Multi-Agent Learning Workshop 2020

We are running an interdisciplinary workshop that will bring world-renowned experts in the AI field to Prague in order to advance the field of meta-learning and multi-agent learning.

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Blog

Latest blog posts

Workshop on Collective Meta-Learning and the Benefits of Deliberation

June 08, 2020 ResearchTechnical blogs

There seem to be at least two views on the topic of multi-agentness/collectivity in badger, depending on whether we are talking about the potential of badger vs. the technical details of how learning in badger occurs, i.e. the why and.

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Trainability of Badger – Why is Badger so hard to train?

To understand why Badger is hard to train, we need to understand first how Badger learns, using a toy task. We try to understand the plateaus, what happens during this period, and why the plateaus are there in the first.

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GoodAI’s ToyArchitecture published in PLOS ONE

Research in Artificial Intelligence (AI) has focused mostly on two extremes: either on small improvements in narrow AI domains, or on universal theoretical frameworks which are often uncomputable, or lack practical implementations.

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