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Thomas Gabor

LMU Munich

A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning

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May 20, 2024
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Qandle: Accelerating State Vector Simulation Using Gate-Matrix Caching and Circuit Splitting

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Apr 14, 2024
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REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning

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Apr 04, 2024
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Challenges for Reinforcement Learning in Quantum Computing

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Dec 18, 2023
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Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines

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Nov 27, 2023
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DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training

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Jan 18, 2023
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Empirical Analysis of Limits for Memory Distance in Recurrent Neural Networks

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Dec 20, 2022
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Constructing Organism Networks from Collaborative Self-Replicators

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Dec 20, 2022
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Capturing Dependencies within Machine Learning via a Formal Process Model

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Aug 10, 2022
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Black Box Optimization Using QUBO and the Cross Entropy Method

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Jun 24, 2022
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