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Papers matching “adaptive learning” 169

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Neurocognitive and Computational Perspectives on Multilingual Adaptive Learning: Towards Ethical and Effective AI in Education
2025 preprint Computer Science Intelligent Tutoring Systems and Adaptive Learning Open access

Helena Varga, Aisha B Rahman

0

citations
Learning adaptive differential evolution algorithm from optimization experiences by policy gradient
2021 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Jianyong Sun, Xin Liu, Thomas Bäck, Zongben Xu

4

citations
Learning to Prompt: Improving Student Engagement with Adaptive LLM-based High-School Tutoring
2026 arXiv (Cornell University) preprint Computer Science Intelligent Tutoring Systems and Adaptive Learning Open access

Po-Chin Chang, Nicholas Hogan, Aske Plaat, Michiel T. van der Meer

0

citations
Cognitively Informed Cross-Lingual Curriculum Learning for Adaptive Reading Comprehension
2025 preprint Computer Science Intelligent Tutoring Systems and Adaptive Learning Open access

Helena Varga

0

citations
immuneML: an ecosystem for machine learning analysis of adaptive immune receptor repertoires
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology vaccines and immunoinformatics approaches Open access

Milena Pavlović, Lonneke Scheffer, Keshav Motwani, Chakravarthi Kanduri, Radmila Kompova, Nikolay Vazov, +37 more

17

citations
Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning
2021 arXiv (Cornell University) preprint Computer Science Artificial Intelligence in Games Open access

Hui Wang, Mike Preuß, Aske Plaat

3

citations
Hybrid Reinforcement Learning and Model Predictive Control for Adaptive Control of Hydrogen-Diesel Dual-Fuel Combustion
2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Julian Bedei, Alexander Winkler, Murray McBain, Charles Robert Koch, David C. Gordon

0

citations
Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Emma Cramer, Bernd Frauenknecht, Ramil Sabirov, Sebastian Trimpe

0

citations
Adapting to uncertainty: The role of anxiety and fear of negative evaluation in learning in social and non-social contexts
2024 preprint Psychology Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes Open access

Selin Topel, Ili Ma, Anna C. K. van Duijvenvoorde, Henk van Steenbergen, Ellen de Bruijn

1

citations
A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy
2020 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Laurens Beljaards, Mohamed S. Elmahdy, Fons J. Verbeek, Marius Staring

9

citations
Tempestas ex machina: A review of machine learning methods for wavefront control
2023 arXiv (Cornell University) preprint Physics and Astronomy Adaptive optics and wavefront sensing Open access

J. Fowler, Rico Landman

1

citations
Adaptive Compliant Robot Control with Failure Recovery for Object Press-Fitting
2023 arXiv (Cornell University) preprint Engineering Robot Manipulation and Learning Open access

Christoph Henke, Alex Mitrevski, Paul G. Plöger

0

citations
Ensuring Safety in Automated Mechanical Ventilation through Offline Reinforcement Learning and Digital Twin Verification
2026 arXiv (Cornell University) preprint Medicine Respiratory Support and Mechanisms Open access

Hang Yu, Huidong Liu, Qingchen Zhang, William Joy, Kateryna Nikulina, Andreas Schuppert, +2 more

0

citations
EVO-RL: Evolutionary-Driven Reinforcement Learning
2020 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann, Arne Peine, Lukas Märtin, +3 more

3

citations
Deep Reinforcement Learning for Cognitive Time-Division Joint SAR and Secure Communications
2026 arXiv (Cornell University) preprint Engineering Wireless Communication Security Techniques Open access

Mohamed-Amine Lahmeri, Ata Khalili, Yujiao Liu, Anke Schmeink, Robert Schober

0

citations
ReLaTS: a Reinforcement Learning-based method for dynamically determining the coupling Time Step in multi-scale simulations of self-gravitating systems
2026 arXiv (Cornell University) preprint Physics and Astronomy Stellar, planetary, and galactic studies Open access

Veronica Saz Ulibarrena, Simon Portegies Zwart

0

citations
ReLaTS: a Reinforcement Learning-based method for dynamically determining the coupling Time Step in multi-scale simulations of self-gravitating systems
2026 arXiv (Cornell University) preprint Physics and Astronomy Stellar, planetary, and galactic studies Open access

Veronica Saz Ulibarrena, Simon Portegies Zwart

0

citations
A Deep Reinforcement Learning Approach to Wavefront Control for Exoplanet Imaging
2024 arXiv (Cornell University) preprint Physics and Astronomy Adaptive optics and wavefront sensing Open access

Yann Gutierrez, Johan Mazoyer, Olivier Herscovici-Schiller, Laurent M. Mugnier, B. Abeloos, Iva Laginja

0

citations
On-sky demonstration of self-learning predictive control with MagAO-X
2026 arXiv (Cornell University) preprint Physics and Astronomy Adaptive optics and wavefront sensing Open access

Sebastiaan Y. Haffert, Jared R. Males, Parker T. Johnson, Laird M. Close, Olivier Guyon, Jay Kueny, +10 more

0

citations
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation
2021 arXiv (Cornell University) preprint Computer Science Video Surveillance and Tracking Methods Open access

Nan Pu, Wei Ren Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew

9

citations
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange‐Hegermann, Fabian Mies

0

citations
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

0

citations
On-Chip Learning via Transformer In-Context Learning
2024 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Jan Finkbeiner, Emre Neftci

0

citations
Unsupervised learning and clustered connectivity enhance reinforcement learning in spiking neural networks
2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Neural dynamics and brain function Open access

Philipp Weidel, Renato Duarte, Abigail Morrison

1

citations
Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning
2026 arXiv (Cornell University) preprint Physics and Astronomy Adaptive optics and wavefront sensing Open access

Nathan K. Long, Barnaby R. M. Norris, Daniel S. Dahl, Christopher H. Betters, Julia J. Bryant, Nick Cvetojević, +7 more

0

citations