Showing 1–18 of 18 results
/ Date/ Name
Jan 18, 2023DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-TrainingAug 10, 2022Capturing Dependencies within Machine Learning via a Formal Process ModelApr 26, 2023CROP: Towards Distributional-Shift Robust Reinforcement Learning using Compact Reshaped Observation ProcessingJan 13, 2024Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning AlgorithmsJul 30, 2019Soccer Team VectorsApr 29, 2020The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning PipelineJan 13, 2024Quantum Advantage Actor-Critic for Reinforcement LearningJun 5, 2020Acoustic Anomaly Detection for Machine Sounds based on Image Transfer LearningJul 5, 2019Deep Neural Baselines for Computational ParalinguisticsJan 4, 2023Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial ObservabilityDec 11, 2020Analysis of Feature Representations for Anomalous Sound DetectionDec 11, 2020Acoustic Leak Detection in Water NetworksMay 22, 2018The Impact of Uncle Rewards on Selfish Mining in EthereumDec 14, 2020SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement LearningApr 4, 2024REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement LearningDec 10, 2024Optimizing Sensor Redundancy in Sequential Decision-Making ProblemsApr 20, 2025Surrogate Fitness Metrics for Interpretable Reinforcement LearningAug 8, 2024Emergence in Multi-Agent Systems: A Safety Perspective