Suchergebnisse - T Clune

New South Wales July to December 2023 von David Clune

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New South Wales January to June 2024 von David Clune

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Arguments for a ban on pediatric intersex surgery: A dis/analogy with Jehovah witness blood transfusion von Catherine Clune‐Taylor

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Thought Cloning: Learning to Think while Acting by Imitating Human Thinking von Hu, Shengran, Clune, Jeff

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First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs von Norman, Ben, Clune, Jeff

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An excitation matched local correlation approach to excited state specific perturbation theory von Clune, Rachel, Neuscamman, Eric

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Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models von Lu, Cong, Hu, Shengran, Clune, Jeff

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Automated Design of Agentic Systems von Hu, Shengran, Lu, Cong, Clune, Jeff

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Automated Capability Discovery via Foundation Model Self-Exploration von Lu, Cong, Hu, Shengran, Clune, Jeff

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Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models von Dharna, Aaron, Lu, Cong, Clune, Jeff

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Hint-Based SMT Proof Reconstruction von Clune, Joshua, Barbosa, Haniel, Avigad, Jeremy

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Learning to Continually Learn via Meta-learning Agentic Memory Designs von Xiong, Yiming, Hu, Shengran, Clune, Jeff

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Continual learning under domain transfer with sparse synaptic bursting von Beaulieu, Shawn L., Clune, Jeff, Cheney, Nick

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OMNI: Open-endedness via Models of human Notions of Interestingness von Zhang, Jenny, Lehman, Joel, Stanley, Kenneth, Clune, Jeff

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Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning von Frati, Lapo, Traft, Neil, Clune, Jeff, Cheney, Nick

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OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code von Faldor, Maxence, Zhang, Jenny, Cully, Antoine, Clune, Jeff

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Lean-auto: An Interface between Lean 4 and Automated Theorem Provers von Qian, Yicheng, Clune, Joshua, Barrett, Clark, Avigad, Jeremy

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How Weight Resampling and Optimizers Shape the Dynamics of Continual Learning and Forgetting in Neural Networks von Frati, Lapo, Traft, Neil, Clune, Jeff, Cheney, Nick

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Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis von Kumar, Akarsh, Clune, Jeff, Lehman, Joel, Stanley, Kenneth O.

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Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization von Ding, Li, Zhang, Jenny, Clune, Jeff, Spector, Lee, Lehman, Joel

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