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Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Multi-Agent Reinforcement Learning Systems. (arXiv:2301.08278v1 [cs.MA]) arxiv.org/abs/2301.08278

ETLP: Event-based Three-factor Local Plasticity for online learning with neuromorphic hardware. (arXiv:2301.08281v1 [cs.NE]) arxiv.org/abs/2301.08281

A new thermodynamically compatible finite volume scheme for magnetohydrodynamics. (arXiv:2301.08282v1 [math.NA]) arxiv.org/abs/2301.08282

A Survey of research in Deep Learning for Robotics for Undergraduate research interns. (arXiv:2301.08283v1 [cs.RO]) arxiv.org/abs/2301.08283

The necessity of depth for artificial neural networks to approximate certain classes of smooth and bounded functions without the curse of dimensionality. (arXiv:2301.08284v1 [math.NA]) arxiv.org/abs/2301.08284

Fully Elman Neural Network: A Novel Deep Recurrent Neural Network Optimized by an Improved Harris Hawks Algorithm for Classification of Pulmonary Arterial Wedge Pressure. (arXiv:2301.07710v1 [cs.LG]) arxiv.org/abs/2301.07710

Learning-Rate-Free Learning by D-Adaptation. (arXiv:2301.07733v1 [cs.LG]) arxiv.org/abs/2301.07733

Catapult Dynamics and Phase Transitions in Quadratic Nets. (arXiv:2301.07737v1 [cs.LG]) arxiv.org/abs/2301.07737

The Metaverse from a Multimedia Communications Perspective. (arXiv:2301.07740v1 [cs.MM]) arxiv.org/abs/2301.07740

Using CycleGANs to Generate Realistic STEM Images for Machine Learning. (arXiv:2301.07743v1 [cond-mat.mtrl-sci]) arxiv.org/abs/2301.07743

An Automata-based Framework for Verification and Bug Hunting in Quantum Circuits (Technical Report). (arXiv:2301.07747v1 [cs.LO]) arxiv.org/abs/2301.07747

Freeze-Tag is NP-Hard in 3D with $L_1$ distance. (arXiv:2301.07757v1 [cs.CG]) arxiv.org/abs/2301.07757

Human-Machine Collaboration for Smart Decision Making: Current Trends and Future Opportunities. (arXiv:2301.07766v1 [eess.SP]) arxiv.org/abs/2301.07766

Sequential Processing of Observations in Human Decision-Making Systems. (arXiv:2301.07767v1 [eess.SP]) arxiv.org/abs/2301.07767

EENet: Learning to Early Exit for Adaptive Inference. (arXiv:2301.07099v1 [cs.LG]) arxiv.org/abs/2301.07099

Distributed LSTM-Learning from Differentially Private Label Proportions. (arXiv:2301.07101v1 [cs.LG]) arxiv.org/abs/2301.07101

On Using Deep Learning Proxies as Forward Models in Deep Learning Problems. (arXiv:2301.07102v1 [cs.LG]) arxiv.org/abs/2301.07102

Continuous Trajectory Generation Based on Two-Stage GAN. (arXiv:2301.07103v1 [cs.LG]) arxiv.org/abs/2301.07103

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