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04/26/2023
CROP: Towards Distributional-Shift Robust Reinforcement Learning using Compact Reshaped Observation Processing
The safe application of reinforcement learning (RL) requires generalizat...
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01/18/2023
DIRECT: Learning from Sparse and Shifting Rewards using Discriminative Reward Co-Training
We propose discriminative reward co-training (DIRECT) as an extension to...
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01/04/2023
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under State Uncertainty
State uncertainty poses a major challenge for decentralized coordination...
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08/10/2022
Capturing Dependencies within Machine Learning via a Formal Process Model
The development of Machine Learning (ML) models is more than just a spec...
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12/14/2020
SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning
A characteristic of reinforcement learning is the ability to develop unf...
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12/11/2020
Analysis of Feature Representations for Anomalous Sound Detection
In this work, we thoroughly evaluate the efficacy of pretrained neural n...
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12/11/2020
Acoustic Leak Detection in Water Networks
In this work, we present a general procedure for acoustic leak detection...
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06/05/2020
Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning
In industrial applications, the early detection of malfunctioning factor...
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04/29/2020
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline
We discuss the synergetic connection between quantum computing and artif...
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07/30/2019
Soccer Team Vectors
In this work we present STEVE - Soccer TEam VEctors, a principled approa...
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07/05/2019
Deep Neural Baselines for Computational Paralinguistics
Detecting sleepiness from spoken language is an ambitious task, which is...
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05/22/2018