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Semih Cayci

Gauss-Newton Dynamics for Neural Networks: A Riemannian Optimization Perspective

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Dec 19, 2024
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Essentially Sharp Estimates on the Entropy Regularization Error in Discrete Discounted Markov Decision Processes

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Jun 06, 2024
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Recurrent Natural Policy Gradient for POMDPs

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May 28, 2024
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Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis

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Feb 19, 2024
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Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards

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Jun 20, 2023
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Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games

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Dec 29, 2022
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Finite-Time Analysis of Entropy-Regularized Neural Natural Actor-Critic Algorithm

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Jun 02, 2022
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Learning to Control Partially Observed Systems with Finite Memory

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Feb 22, 2022
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A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback

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Jun 09, 2021
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Linear Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation

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Jun 08, 2021
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