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Stefano V. Albrecht

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Highway Graph to Accelerate Reinforcement Learning

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May 20, 2024
Zidu Yin, Zhen Zhang, Dong Gong, Stefano V. Albrecht, Javen Q. Shi

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LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots

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Apr 22, 2024
Dongge Han, Trevor McInroe, Adam Jelley, Stefano V. Albrecht, Peter Bell, Amos Storkey

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Multi-view Disentanglement for Reinforcement Learning with Multiple Cameras

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Apr 22, 2024
Mhairi Dunion, Stefano V. Albrecht

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Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review

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Feb 08, 2024
Anton Kuznietsov, Balint Gyevnar, Cheng Wang, Steven Peters, Stefano V. Albrecht

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ICED: Zero-Shot Transfer in Reinforcement Learning via In-Context Environment Design

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Feb 05, 2024
Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht

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Sample Relationship from Learning Dynamics Matters for Generalisation

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Jan 16, 2024
Shangmin Guo, Yi Ren, Stefano V. Albrecht, Kenny Smith

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Is Feedback All You Need? Leveraging Natural Language Feedback in Goal-Conditioned Reinforcement Learning

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Dec 07, 2023
Sabrina McCallum, Max Taylor-Davies, Stefano V. Albrecht, Alessandro Suglia

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Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning

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Oct 09, 2023
Trevor McInroe, Stefano V. Albrecht, Amos Storkey

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How the level sampling process impacts zero-shot generalisation in deep reinforcement learning

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Oct 05, 2023
Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V. Albrecht

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Contextual Pre-Planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning

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Jul 11, 2023
Guy Azran, Mohamad H. Danesh, Stefano V. Albrecht, Sarah Keren

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