From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “integration policy” 16

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

Recurrent Natural Policy Gradient for POMDPs
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Semih Çaycı, Atilla Eryılmaz

0

citations
Meta Generative Flow Networks with Personalization for Task-Specific Adaptation
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Xinyuan Ji, Xu Zhang, Wei Xi, Haozhi Wang, Olga Gadyatskaya, Yinchuan Li

0

citations
Optimizing Causal Interventions in Hybrid Bayesian Networks
2024 Research Square preprint Computer Science Bayesian Modeling and Causal Inference Open access

Maarten Vonk, Diederick Vermetten, Jacob de Nobel, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, +2 more

0

citations
Edaphobase 2.0: Advanced International Data Warehouse for Collating and Using Soil Biodiversity Datasets
2024 SSRN Electronic Journal preprint Computer Science Research Data Management Practices Open access

David J. Russell, E. Naudts, Nadia Soudzilovskaia, María J.I. Briones, Erminia Conti, Jérôme Cortet, +20 more

5

citations
Probabilistic Model Checking Taken by Storm
2026 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Matthias Volk, Linus Heck, Sebastian Junges, Joost-Pieter Katoen, Tim Quatmann

0

citations
Probabilistic Model Checking Taken by Storm
2026 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Matthias Volk, Linus Heck, Sebastian Junges, Joost-Pieter Katoen, Tim Quatmann

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
Deliverable D1.3 Best practice manual for findability, re-use and accessibility of infrastructures
2023 preprint Computer Science Research Data Management Practices Open access

Wouter Addink, Niki Kyriakopoulou, Lyubomir Penev, David Fichtmueller, Ben Norton, David Peter Shorthouse

2

citations
Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

M. Youssef Abdelhamid, Lennart Vater, Zlatan Ajanović

0

citations
Leapfrogging cancer diagnostics with AI: a mixed-methods assessment of implementation determinants in low- and middle-income countries
2026 medRxiv preprint Computer Science AI in cancer detection Open access

Lydia A. Schoenpflug, Nikki van den Berg, Serey Vathana Chhut, Elaine Y L Leung, Lai‐Meng Looi, Robert L. Lukande, +14 more

0

citations
Offline Trajectory Optimization for Offline Reinforcement Learning
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Ziqi Zhao, Zhaochun Ren, Yang Liu, Fajie Yuan, Pengjie Ren, Zhumin Chen

0

citations
Eleven Strategies for Making Reproducible Research and Open Science Training the Norm at Research Institutions
2023 preprint Computer Science Research Data Management Practices Open access

Friederike Elisabeth Kohrs, Susann Auer, Alexandra Bannach‐Brown, Susann Fiedler, Tamarinde Laura Haven, Verena Heise, +45 more

7

citations
A Unified Hardware-to-Decoder Architecture for Hybrid Continuous-Variable and Discrete-Variable Quantum Error Correction in LiDMaS+
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dennis Delali Kwesi Wayo, Chinonso Onah, Leonardo Goliatt, Sven Groppe

0

citations
Safe Reinforcement Learning-based Control for Hydrogen Diesel Dual-Fuel Engines
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Alexander Winkler, Armin Norouzi, Jakob Andert, David C. Gordon, Hongsheng Guo

0

citations
Demo: Testing AI-driven MAC Learning in Autonomic Networks
2024 arXiv (Cornell University) preprint Computer Science Software-Defined Networks and 5G Open access

Leonard Paeleke, Navid Keshtiarast, Paul Seehofer, Roland Bless, Holger Karl, Marina Petrova, +1 more

0

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

0

citations

16 results