Vergleich verschiedener hybrider Quantum Machine Learning Ansätze zur Klassifikation von Bildern auf Quantencomputern

Reinforcement Learning-gestützte State Preparation mithilfe von parametrisierten Quantengattern

Evaluating Mutation Techniques in Genetic Algorithm-Based Quantum Circuit Synthesis

Update Behavior of Neural Networks Trained in Alternation with an Additional Auxiliary Task

The Trainability of Quantum Federated Learning

Investigating the Lottery Ticket Hypothesis for Variational Quantum Circuits

Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization

Learning Independent Multi-Agent Flocking Behavior With Reinforcement Learning

Enhancing Object Recognition with Uncertainty-Based Fusion Techniques: A Comparative Analysis of Voting Techniques and Machine Learning Models

An Evolutionary Algorithm with Similarity-Based Variation for Job-Shop Scheduling

Neural Networks with a Regulatory Second Task on Neuron Level

State Preparation on Quantum Hardware Using an Island Genetic Algorithm

Quantum Reinforcement Learning via Parameterized Quantum Walks

CUAOA: A Novel CUDA-Accelerated Simulation Framework for the Quantum Approximate Optimization Algorithm

Explainable Time Series Forecasting using exogenous variables – How weather affects the stock market

A Path Towards Quantum Advantage for the Unit Commitment Problem

Evolutionäre Operatoren zur Optimierung von Prompts für die Codegenerierung durch Large Language Models

Measuring Relatedness in Evolutionary Algorithms via Superfluous Genes

Exploring QuGANs for realistic graph generation – an exploratory study

Designing Meta-Rewards for Multi-Agent Reinforcement Learning Cooperation

Masked Autoencoders for Unsupervised Anomalous Sound Detection

Evaluierung von metaheuristischen Optimierungsalgorithmen für Quantum Reinforcement Learning

Towards Less Greedy Quantum Coalition Structure Generation in Induced Subgraph Games

Specification Aware Evolutionary Error Search in Parameterized RL Environments

Optimierung von Variational Quantum Circuits für Hybride Quantum Proximal Policy Optimization Algorithmen

Link-Konfiguration für Satellitenkommunikation mittels Reinforcement Learning

Anomalous Sound Detection with Multimodal Embeddings

Beeinflussung von Verhalten durch Reward-Manipulation im Multi-Agent Reinforcement-Learning

Portraying Reinforcement Learning Policies via Diverse Behavior selected using Evolutionary Algorithms

Diversity-Driven Pre-Training for Efficient Transfer Reinforcement Learning