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An Improved Continuous-Action Extended Classifier Systems for Function Approximation.

, , and . Complex Adaptive Systems, volume 61 of Procedia Computer Science, page 361-366. Elsevier, (2015)

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When can transformers reason with abstract symbols?, , , , , and . CoRR, (2023)Holographic stress tensor for non-relativistic theories, and . Journal of High Energy Physics, 2009 (09): 009 (Jul 10, 2009)An Improved Continuous-Action Extended Classifier Systems for Function Approximation., , and . Complex Adaptive Systems, volume 61 of Procedia Computer Science, page 361-366. Elsevier, (2015)How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks., , , , , , and . CoRR, (2024)What Algorithms can Transformers Learn? A Study in Length Generalization., , , , , , , and . CoRR, (2023)Adaptivity and Modularity for Efficient Generalization Over Task Complexity., , , , , , , , , and 1 other author(s). CoRR, (2023)Vanishing Gradients in Reinforcement Finetuning of Language Models., , , , , , , and . CoRR, (2023)An Improved eXtended Classifier System for the Real-time-input Real-time-output (XCSRR) Stability Control of a Biped Robot., , , and . Complex Adaptive Systems, volume 61 of Procedia Computer Science, page 492-499. Elsevier, (2015)How Far Can Transformers Reason? The Locality Barrier and Inductive Scratchpad., , , , and . CoRR, (2024)Vanishing Gradients in Reinforcement Finetuning of Language Models., , , , , , , and . ICLR, OpenReview.net, (2024)