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06/28/2023
Improving Primate Sounds Classification using Binary Presorting for Deep Learning
In the field of wildlife observation and conservation, approaches involv...
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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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01/04/2023
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under State Uncertainty
State uncertainty poses a major challenge for decentralized coordination...
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12/20/2022
VoronoiPatches: Evaluating A New Data Augmentation Method
Overfitting is a problem in Convolutional Neural Networks (CNN) that cau...
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06/24/2022
Black Box Optimization Using QUBO and the Cross Entropy Method
Black box optimization (BBO) can be used to optimize functions whose ana...
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06/12/2022
Case-Based Inverse Reinforcement Learning Using Temporal Coherence
Providing expert trajectories in the context of Imitation Learning is of...
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04/28/2022
Algorithmic QUBO Formulations for k-SAT and Hamiltonian Cycles
Quadratic unconstrained binary optimization (QUBO) can be seen as a gene...
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04/16/2019