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Ostaszewski, Mateusz

  1. Huxley-Gödel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine
    2025/10/24 by Wenyi Wang, Piotr Piękos, Wang, Wenyi +13 · 4 voices · 8 citations
    #cs.AI
  2. Reinforcement learning for optimization of variational quantum circuit architectures
    2021/03/30 by Mateusz Ostaszewski, Lea M. Trenkwalder, Ostaszewski, Mateusz +7 · 16 citations
    Computer Science · Engineering · #Quantum Computing Algorithms and Architecture #Advancements in Semiconductor Devices and Circuit Design #Advanced Memory and Neural Computing
  3. Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control
    2024/05/25 by Michał Nauman, Mateusz Ostaszewski, Nauman, Michal +7 · 21 citations
    Engineering · Computer Science · #Advanced Control Systems Optimization #Control Systems and Identification #Neural Networks and Applications
  4. Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
    2024/03/01 by Michał Nauman, Michał Bortkiewicz, Nauman, Michal +9 · 13 citations
    Neuroscience · #Embodied and Extended Cognition #FOS: Computer and information sciences #Machine Learning (cs.LG)
  5. Curriculum reinforcement learning for quantum architecture search under hardware errors
    2024/02/05 by Yash J. Patel, Akash Kundu, Patel, Yash J. +9 · 12 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantum Information and Cryptography #Quantum Physics (quant-ph)
  6. The Tunnel Effect: Building Data Representations in Deep Neural Networks
    2023/05/31 by Wojciech Masarczyk, Masarczyk, Wojciech, Mateusz Ostaszewski +9 · 4 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. Learning Continually by Spectral Regularization
    2024/06/10 by Alex Lewandowski, Lewandowski, Alex, Bortkiewicz, Michał +9 · 7 citations
    Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Neural Networks and Applications
  8. Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
    2024/02/05 by Maciej Wołczyk, Bartłomiej Cupiał, Wołczyk, Maciej +13 · 5 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Reinforcement Learning in Robotics
  9. The Effectiveness of World Models for Continual Reinforcement Learning
    2022/11/29 by Samuel Kessler, Kessler, Samuel, Ostaszewski, Mateusz +6 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics