The Future of AI in Games
How can we leverage the power of large language models (LLMs) for game development? Marek Rosa explores the trajectory of AI progress and its impact on the industry.
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Learning to Learn with Video Games
Julian Togelius's new game-based benchmarks to measure and improve open-ended learning, task transfer, and generalization for game AI.
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Building for Intelligence: Cells to Societies Workshop Notes
An overview of research findings from the 2022 ICLR workshop exploring the cumulative nature of culture across disciplines.
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Policy Learning with Neural Cellular Automata
GoodAI grantee Sebastian Risi will conduct research to optimize neural cellular automata (NCA) to grow neural networks.
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A Conversation with Ted Chiang
Rethinking the learning framework. What would that look like in AI?
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GoodAI Supports Slovak Scientific Research
GoodAI Grants program contributes to the general advancement of science in Slovakia.
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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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What are the differences between centralized learning (in monolithic systems) and decentralized learning (in multi-agent systems)?
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
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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