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Papers matching “learning environment design” 15

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DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Kai Ye, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

1

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

1

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

0

citations
When AI Bends Metal: AI-Assisted Optimization of Design Parameters in Sheet Metal Forming
2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Ahmad Tarraf, Koutaiba El Rifai Kassem-Manthey, Philipp Martin, Lukas Moj, Semih Burak, Christian Terboven, +1 more

1

citations
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
Curriculum reinforcement learning for quantum architecture search under hardware errors
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Yash J. Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, Onur Danaci

7

citations
Consistency of Extreme Learning Machines and Regression under Non-Stationarity and Dependence for ML-Enhanced Moving Objects
2020 arXiv (Cornell University) preprint Computer Science Machine Learning and ELM Open access

Ansgar Steland

0

citations
A Learning-Based Control Barrier Function for Car-Like Robots: Toward Less Conservative Collision Avoidance
2024 arXiv (Cornell University) preprint Computer Science Robotic Path Planning Algorithms Open access

Jianye Xu, Bassam Alrifaee

0

citations
Quantum Policy Gradient Algorithms
2022 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Sofiène Jerbi, Arjan Cornelissen, Māris Ozols, Vedran Dunjko

8

citations
Combining Automated Optimisation of Hyperparameters and Reward Shape
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Emma Cramer, Holger H. Hoos, Sebastian Trimpe

0

citations
Lifelong Computing
2021 arXiv (Cornell University) preprint Computer Science Advanced Software Engineering Methodologies Open access

Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir

0

citations
A Flexible Cell Classification for ML Projects in Jupyter Notebooks
2024 arXiv (Cornell University) preprint Computer Science Software Engineering Research Open access

Selin Aydın, Horst Lichter

0

citations
Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Marco Pleines, Matthias Pallasch, Fränk Zimmer, Mike Preuß

0

citations
CPN-Py: A Python-Based Tool for Modeling and Analyzing Colored Petri Nets
2025 preprint Computer Science Petri Nets in System Modeling Open access

Alessandro Berti, Wil M. P. van der Aalst

1

citations
TopoToolbox 3, a laboratory for quantitative geomorphology
2026 preprint Computer Science Computational Physics and Python Applications Open access

William S. Kearney, Gina Arnau, Theophil Bringezu, Michael Dietze, Boris Gailleton, Anna-Lena Lamprecht, +5 more

1

citations

15 results