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Papers matching “work environment” 34

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Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection
2022 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Mohsen Vadidar, Ali Kariminezhad, Christian Mayr, Laurent Kloeker, Lutz Eckstein

0

citations
LTLf Synthesis on First-Order Agent Programs in Nondeterministic Environments
2024 arXiv (Cornell University) preprint Computer Science Logic, Reasoning, and Knowledge Open access

Till Hofmann, Jens Claßen

0

citations
AoI-Oriented Globally Optimal Joint Source and Update Scheduling in Fluid Antenna Systems
2026 arXiv (Cornell University) preprint Computer Science Age of Information Optimization Open access

Xiaopeng Yuan, Paul Zheng, Anke Schmeink

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
High-Accuracy Model-Based Reinforcement Learning, a Survey
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Aske Plaat, Walter A. Kosters, Mike Preuß

5

citations
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
2023 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash

0

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
Parametrized Quantum Policies for Reinforcement Learning
2021 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Sofiène Jerbi, Casper Gyurik, Hans J. Briegel, Vedran Dunjko

10

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
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
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
From Theory to Practice: Demonstrators of FAIR Data Spaces Across Different Sectors
2024 arXiv (Cornell University) preprint Computer Science Research Data Management Practices Open access

Nikolaus Glombiewski, Zeyd Boukhers, Christian Beilschmidt, Johannes Drönner, Michael Mattig, Artur Piet, +9 more

0

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
Snapquery: FAIR Management of Query Sets to Mitigate Query Rot in Knowledge Graphs
2026 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Semantic Web and Ontologies Open access

0

citations
EconoJax: A Fast & Scalable Economic Simulation in Jax
2024 RePEc: Research Papers in Economics preprint Computer Science Reinforcement Learning in Robotics Open access

Koen Ponse, Aske Plaat, Bas van Stein, Thomas M. Moerland

0

citations
Snapquery: FAIR Management of Query Sets to Mitigate Query Rot in Knowledge Graphs
2026 Zenodo (CERN European Organization for Nuclear Research) preprint Computer Science Semantic Web and Ontologies Open access

Wolfgang Fahl, Christoph Lange, Tim Holzheim, Stefan Decker

0

citations
Reliable validation of Reinforcement Learning Benchmarks
2022 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Matthias Müller-Brockhausen, Aske Plaat, Mike Preuß

0

citations
plantR: An R package and workflow for managing species records from biological collections
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Research Data Management Practices Open access

Renato A. Ferreira de Lima, Andrea Sánchez‐Tapia, Sara Ribeiro Mortara, Hans ter Steege, Marinez Ferreira de Siqueira

10

citations
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
2023 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Shen Gao, Zhengliang Shi, Minghang Zhu, Xin Xin, Pengjie Ren, Zhumin Chen, +1 more

2

citations
Reinforcement Learning for Sustainable Energy: A Survey
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Koen Ponse, Felix Kleuker, Álvaro Serra-Gómez, Aske Plaat, Thomas M. Moerland

2

citations
When to Go, and When to Explore: The Benefit of Post-Exploration in Intrinsic Motivation
2022 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Yang Zhao, Thomas M. Moerland, Mike Preuß, Aske Plaat

1

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
OoDIS: Anomaly Instance Segmentation and Detection Benchmark
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Rui Zhou, Miriam Ackermann, Alexander Hermans, Bastian Leibe, Matthias Rottmann

1

citations
Search-Based Robot Motion Planning With Distance-Based Adaptive Motion Primitives
2025 arXiv (Cornell University) preprint Computer Science Robotic Path Planning Algorithms Open access

Benjamin Kraljušić, Zlatan Ajanović, Nermin Čović, Bakir Lačević

0

citations
On Credit Assignment in Hierarchical Reinforcement Learning
2022 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Joery A. de Vries, Thomas M. Moerland, Aske Plaat

0

citations