A Conversation with Mayalen Etcheverry
Developing "curious" AI agents to autonomously discover and learn a diversity of structures and skills in their environments.
Read moreDeveloping "curious" AI agents to autonomously discover and learn a diversity of structures and skills in their environments.
Read moreEvolution doesn't produce specific solutions to specific environmental problems. It produces problem solving machines. Machines that can solve problems in other spaces.
Read moreWhy are we studying social learning in multi-agent systems?
Read moreThe 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.
Read moreWendelin 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.
Read moreIntegrating GoodAI’s Badger architecture and principles, new grant recipients Rolando Estrada and Blake Camp aim to develop a continual semi-supervised learning system capable of joint supervised and unsupervised learning.
Read moreGoodAI presents a new paper to trace memetic evolution and investigate whether open-ended learning algorithms can be discovered through the lens of socio-cultural learning models.
Read moreWe recently held the Badger Seminar titled: Beyond Life-long Learning via Modular Meta-Learning, with participants joining online and at our headquarters in Prague.
Read moreWe are very proud that Nicholas Guttenberg, Senior Research Scientist at GoodAI, recently won the Evocraft 2021 competition - the Minecraft Open-Endedness Challenge!
Read moreProgress from recent experiments.
Read moreAre you keen on making a meaningful impact? Interested in joining the GoodAI team?