PPaperPicks

Stefano V. Albrecht

12 papers at tracked venues · 8 at CORE A* · active 2024–2025

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Venues

AAMAS ×3ICLR ×3NeurIPS ×2AAAI ×1CHI ×1ICML ×1IROS ×1

Frequent coauthors

Christopher G. Lucas
×4
Lukas Schäfer
×2
Arrasy Rahman
×2
Balint Gyevnar
×2
Shay B. Cohen
×2
Samuel Garcin
×2
Shangmin Guo
×2
Oliver Slumbers
×1
Stephen McAleer
×1
Yali Du
×1
David Mguni
×1
Kale-ab Abebe Tessera
×1

Papers

  1. Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
    AAMAS 2025 ·
    Lukas Schäfer
    ,
    Oliver Slumbers
    ,
    Stephen McAleer
    ,
    Yali Du
    , Stefano V. Albrecht,
    David Mguni
  2. HyperMARL: Adaptive Hypernetworks for Multi-Agent RL
    NeurIPS 2025 ·
    Kale-ab Abebe Tessera
    ,
    Arrasy Rahman
    ,
    Amos J. Storkey
    , Stefano V. Albrecht
  3. Online-to-Offline RL for Agent Alignment
    ICLR 2025 ·
    Xu Liu
    ,
    Haobo Fu
    , Stefano V. Albrecht,
    Qiang Fu
    ,
    Shuai Li
  4. People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AI
    CHI 2025 ·
    Balint Gyevnar
    ,
    Stephanie Droop
    ,
    Tadeg Quillien
    ,
    Shay B. Cohen
    ,
    Neil R. Bramley
    ,
    Christopher G. Lucas
    , Stefano V. Albrecht
  5. Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
    ICLR 2025 ·
    Samuel Garcin
    ,
    Trevor McInroe
    ,
    Pablo Samuel Castro
    ,
    Christopher G. Lucas
    ,
    David Abel
    ,
    Prakash Panangaden
    , Stefano V. Albrecht
  6. Causal Explanations for Sequential Decision-Making in Multi-Agent Systems
    AAMAS 2024 ·
    Balint Gyevnar
    ,
    Cheng Wang
    ,
    Christopher G. Lucas
    ,
    Shay B. Cohen
    , Stefano V. Albrecht
  7. Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
    AAAI 2024 ·
    Guy Azran
    ,
    Mohamad H. Danesh
    , Stefano V. Albrecht,
    Sarah Keren
  8. DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
    ICML 2024 ·
    Samuel Garcin
    ,
    James Doran
    ,
    Shangmin Guo
    ,
    Christopher G. Lucas
    , Stefano V. Albrecht
  9. Learning Complex Teamwork Tasks using a Given Sub-task Decomposition
    AAMAS 2024 ·
    Elliot Fosong
    ,
    Arrasy Rahman
    ,
    Ignacio Carlucho
    , Stefano V. Albrecht
  10. Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
    IROS 2024 ·
    Aleksandar Krnjaic
    ,
    Raul D. Steleac
    ,
    Jonathan D. Thomas
    ,
    Georgios Papoudakis
    ,
    Lukas Schäfer
    ,
    Andrew Wing-Keung To
    ,
    Kuan-Ho Lao
    ,
    Murat Cubuktepe
    ,
    Matthew Haley
    ,
    Peter Börsting
    , Stefano V. Albrecht
  11. Skill-aware Mutual Information Optimisation for Zero-shot Generalisation in Reinforcement Learning
    NeurIPS 2024 ·
    Xuehui Yu
    ,
    Mhairi Dunion
    ,
    Xin Li
    , Stefano V. Albrecht
  12. lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning
    ICLR 2024 ·
    Shangmin Guo
    ,
    Yi Ren
    , Stefano V. Albrecht,
    Kenny Smith