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- Stefano V. Albrecht
aka: Stefano Vittorino Albrecht
University of Edinburgh, UK - Stefan Tobias Albrecht
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Publication search results
found 273 matches
- 2024
- Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht:
Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning. Trans. Mach. Learn. Res. 2024 (2024) - Carina Albrecht-Gansohr, Lara Timm, Sabrina C. Eimler, Stefan Geisler:
An Augmented Reality Application for Wound Management: Enhancing Nurses' Autonomy, Competence and Connectedness. Virtual Worlds 3(2): 208-229 (2024) - Guy Azran, Mohamad H. Danesh, Stefano V. Albrecht, Sarah Keren:
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning. AAAI 2024: 10953-10961 - Elliot Fosong, Arrasy Rahman, Ignacio Carlucho, Stefano V. Albrecht:
Learning Complex Teamwork Tasks using a Given Sub-task Decomposition. AAMAS 2024: 598-606 - Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht:
Causal Explanations for Sequential Decision-Making in Multi-Agent Systems. AAMAS 2024: 771-779 - Patrick Schmidt, Iuliia Topko, Matthias Stammler, Tanja Harbaum, Jürgen Becker, Rico Berner, Omar Ahmed, Jakub Jagielski, Thomas Seidler, Markus Abel, Marius Kreutzer, Maximilian Kirschner, Victor Pazmino Betancourt, Robin Sehm, Lukas Groth, Andrija Neskovic, Rolf Meyer, Saleh Mulhem, Mladen Berekovic, Matthias Probst, Manuel Brosch, Georg Sigl, Thomas Wild, Matthias Ernst, Andreas Herkersdorf, Florian Aigner, Stefan Hommes, Sebastian Lauer, Maximilian Seidler, Thomas Raste, Gasper Skvarc Bozic, Ibai Irigoyen Ceberio, Muhammad Hassan, Albrecht Mayer:
EMDRIVE Architecture: Embedded Distributed Computing and Diagnostics from Sensor to Edge. DATE 2024: 1-6 - Shangmin Guo, Yi Ren, Stefano V. Albrecht, Kenny Smith:
lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning. ICLR 2024 - Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht:
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design. ICML 2024 - Maximiliane Windl, Jan Leusmann, Albrecht Schmidt, Sebastian S. Feger, Sven Mayer:
Privacy Communication Patterns for Domestic Robots. SOUPS @ USENIX Security Symposium 2024: 121-138 - Andrea Walchshofer, Stefan Fischer, Albrecht Wöß, Alejandra Duque-Torres, Markus Löberbauer, Georg Koll:
Introducing a Linter in an Industrial Lua Code Base. SANER (Companion) 2024: 191-198 - Shangmin Guo, Yi Ren, Stefano V. Albrecht, Kenny Smith:
Sample Relationship from Learning Dynamics Matters for Generalisation. CoRR abs/2401.08808 (2024) - Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht:
ICED: Zero-Shot Transfer in Reinforcement Learning via In-Context Environment Design. CoRR abs/2402.03479 (2024) - Anton Kuznietsov, Balint Gyevnar, Cheng Wang, Steven Peters, Stefano V. Albrecht:
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review. CoRR abs/2402.10086 (2024) - Mhairi Dunion, Stefano V. Albrecht:
Multi-view Disentanglement for Reinforcement Learning with Multiple Cameras. CoRR abs/2404.14064 (2024) - Dongge Han, Trevor McInroe, Adam Jelley, Stefano V. Albrecht, Peter Bell, Amos J. Storkey:
LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots. CoRR abs/2404.14285 (2024) - Sarah Keren, Chaimaa Essayeh, Stefano V. Albrecht, Thomas Mortsyn:
Multi-Agent Reinforcement Learning for Energy Networks: Computational Challenges, Progress and Open Problems. CoRR abs/2404.15583 (2024) - Zidu Yin, Zhen Zhang, Dong Gong, Stefano V. Albrecht, Javen Shi:
Highway Graph to Accelerate Reinforcement Learning. CoRR abs/2405.11727 (2024) - Xuehui Yu, Mhairi Dunion, Xin Li, Stefano V. Albrecht:
Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement Learning. CoRR abs/2406.04815 (2024) - 2023
- Arrasy Rahman, Ignacio Carlucho, Niklas Höpner, Stefano V. Albrecht:
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning. J. Mach. Learn. Res. 24: 298:1-298:74 (2023) - Anthony Knittel, Majd Hawasly, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy:
DiPA: Probabilistic Multi-Modal Interactive Prediction for Autonomous Driving. IEEE Robotics Autom. Lett. 8(8): 4887-4894 (2023) - Filippos Christianos, Georgios Papoudakis, Stefano V. Albrecht:
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023) - Arrasy Rahman, Elliot Fosong, Ignacio Carlucho, Stefano V. Albrecht:
Generating Teammates for Training Robust Ad Hoc Teamwork Agents via Best-Response Diversity. Trans. Mach. Learn. Res. 2023 (2023) - Jakob Karolus, Sebastian S. Feger, Albrecht Schmidt, Pawel W. Wozniak:
Your Text Is Hard to Read: Facilitating Readability Awareness to Support Writing Proficiency in Text Production. Conference on Designing Interactive Systems 2023: 147-160 - Carina Albrecht-Gansohr, Stefan Geisler, Sabrina Cornelia Eimler:
Playful Co-Design: Creating an AR-Prototype with Nurses in Interlocking Remote and On-Site Workshops. CHI Extended Abstracts 2023: 395:1-395:8 - Passant Elagroudy, Pascal Knierim, Albrecht Schmidt, Pawel W. Wozniak, Sebastian S. Feger:
I (Don't) Know What You Did Last Summer: A Framework for Ubiquitous Research Preservation. CHI Extended Abstracts 2023: 164:1-164:6 - Maximiliane Windl, Albrecht Schmidt, Sebastian S. Feger:
Investigating Tangible Privacy-Preserving Mechanisms for Future Smart Homes. CHI 2023: 70:1-70:16 - Stefan Klessinger, Michael Fruth, Valentin Gittinger, Meike Klettke, Uta Störl, Stefanie Scherzinger:
Tagger: A Tool for the Discovery of Tagged Unions in JSON Schema Extraction. EDBT 2023: 827-830 - Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V. Albrecht:
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning. ICLR 2023 - Filippos Christianos, Péter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone:
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models. ICRA 2023: 5558-5565 - Cillian Brewitt, Massimiliano Tamborski, Cheng Wang, Stefano V. Albrecht:
Verifiable Goal Recognition for Autonomous Driving with Occlusions. IROS 2023: 11210-11217
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