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05/25/2023
C-MCTS: Safe Planning with Monte Carlo Tree Search
Many real-world decision-making tasks, such as safety-critical scenarios...
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05/23/2023
Augmented Random Search for Multi-Objective Bayesian Optimization of Neural Networks
Deploying Deep Neural Networks (DNNs) on tiny devices is a common trend ...
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04/27/2023
Batch Quantum Reinforcement Learning
Training DRL agents is often a time-consuming process as a large number ...
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04/27/2023
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients
VQA have attracted a lot of attention from the quantum computing communi...
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09/14/2022
Efficient Beam Search for Initial Access Using Collaborative Filtering
Beamforming-capable antenna arrays overcome the high free-space path los...
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07/26/2022
Active Learning of Ordinal Embeddings: A User Study on Football Data
Humans innately measure distance between instances in an unlabeled datas...
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07/23/2022
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving
Reinforcement learning (RL) has shown to reach super human-level perform...
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05/20/2022
Deployment of Energy-Efficient Deep Learning Models on Cortex-M based Microcontrollers using Deep Compression
Large Deep Neural Networks (DNNs) are the backbone of today's artificial...
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05/06/2022
Incremental Data-Uploading for Full-Quantum Classification
The data representation in a machine-learning model strongly influences ...
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03/24/2022
Position Tracking using Likelihood Modeling of Channel Features with Gaussian Processes
Recent localization frameworks exploit spatial information of complex ch...
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03/16/2022
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies
Autonomous driving has the potential to revolutionize mobility and is he...
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03/15/2022
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility
Many scenarios in mobility and traffic involve multiple different agents...
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03/14/2022
Don't Get Me Wrong: How to apply Deep Visual Interpretations to Time Series
The correct interpretation and understanding of deep learning models is ...
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02/16/2022
Cross-Modal Common Representation Learning with Triplet Loss Functions
Common representation learning (CRL) learns a shared embedding between t...
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02/14/2022
Benchmarking Online Sequence-to-Sequence and Character-based Handwriting Recognition from IMU-Enhanced Pens
Handwriting is one of the most frequently occurring patterns in everyday...
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02/10/2022
Uncovering Instabilities in Variational-Quantum Deep Q-Networks
Deep Reinforcement Learning (RL) has considerably advanced over the past...
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07/09/2020
IALE: Imitating Active Learner Ensembles
Active learning (AL) prioritizes the labeling of the most informative da...
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12/19/2019
Deep Reinforcement Learning for Motion Planning of Mobile Robots
This paper presents a novel motion and trajectory planning algorithm for...
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12/17/2019