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Papers matching “transfer reinforcement learning” 19

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On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer
2022 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Marco Pleines, Konstantin Ramthun, Yannik Wegener, Matthias Pallasch, Jannik Drogemuller, Leon Büttinghaus, +7 more

0

citations
Transfer Learning and Curriculum Learning in Sokoban
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Zhao Yang, Mike Preuß, Aske Plaat

1

citations
Automated Generation of Mechanistic Models for Chemical Process Digital Twins using Reinforcement Learning - Part II: Compartmentalization and Learning-Based Recalibration
2025 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Jan-Frederic Laub, Jiyizhe Zhang, Mathis Heyer, Alexei A. Lapkin

1

citations
Automated Generation of Mechanistic Models for Chemical Process Digital Twins using Reinforcement Learning - Part II: Compartmentalization and Learning-Based Recalibration
2025 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Jan-Frederic Laub, Jiyizhe Zhang, Mathis Heyer, Alexei A. Lapkin

1

citations
Model-based Reinforcement Learning: A Survey
2020 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker

82

citations
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey
2020 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Aske Plaat, Walter A. Kosters, Mike Preuß

6

citations
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Shawan Taha Mohammed, Alp Argun, Nicolas Bonnotte, Gerd Ascheid

0

citations
Injection Optimization at Particle Accelerators via Reinforcement Learning: From Simulation to Real-World Application
2024 arXiv (Cornell University) preprint Engineering Particle accelerators and beam dynamics Open access

Awal Awal, J. Hetzel, R. Gebel, Jörg Pretz

0

citations
Quantum Circuit Discovery for Fault-Tolerant Logical State Preparation with Reinforcement Learning
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Remmy A. M. Zen, Jan Ollé, Luis Colmenárez, Matteo Ballerini Puviani, Markus Michael Müller, Florian Marquardt

0

citations
Towards General Negotiation Strategies with End-to-End Reinforcement Learning
2024 arXiv (Cornell University) preprint Computer Science Multi-Agent Systems and Negotiation Open access

Bram M. Renting, Thomas M. Moerland, Holger H. Hoos, Catholijn M. Jonker

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
Automated Generation of Mechanistic Models for Chemical Process Digital Twins using Reinforcement Learning - Part I: Conceptual Framework and Equation Generation
2025 ChemRxiv preprint Engineering Control Systems and Identification Open access

Mathis Heyer, Jiyizhe Zhang, Naoto Sugisawa, Jan-Frederic Laub, Alexei A. Lapkin

1

citations
Automated Generation of Mechanistic Models for Chemical Process Digital Twins using Reinforcement Learning - Part I: Conceptual Framework and Equation Generation
2025 ChemRxiv preprint Engineering Control Systems and Identification Open access

Mathis Heyer, Jiyizhe Zhang, Naoto Sugisawa, Jan-Frederic Laub, Alexei A. Lapkin

0

citations
Automated generation of mechanistic models for chemical process digital twins using reinforcement learning - Part I: Conceptual framework and equation generation
2025 ChemRxiv preprint Engineering Control Systems and Identification Open access

Mathis Heyer, Jiyizhe Zhang, Naoto Sugisawa, Jan-Frederic Laub, Alexei A. Lapkin

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
Designing ML-Resilient Locking at Register-Transfer Level
2022 arXiv (Cornell University) preprint Computer Science Physical Unclonable Functions (PUFs) and Hardware Security Open access

Dominik Šišejković, Luca Collini, Benjamin Tan, Christian Pilato, Ramesh Karri, Rainer Leupers

6

citations
Amortized Molecular Optimization via Group Relative Policy Optimization
2026 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access

Muhammad bin Javaid, Hasham Hussain, Ashima Khanna, Berke Kisin, Jonathan Pirnay, Alexander Mitsos, +2 more

0

citations
Beyond Imitation: Reflective On-Policy Self-Distillation for LLM Reasoning
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Ziqi Zhao, Xinyu Ma, Liu Yang, Yujie Feng, Daiting Shi, Jingzhou He, +3 more

0

citations
Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning
2026 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Leon Hamm, Zlatan Ajanović

0

citations

19 results