Stefano V. Albrecht

Venues

Frequent coauthors

Papers

1. Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
   AAMAS 2025 ·

   Lukas Schäfer

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2. HyperMARL: Adaptive Hypernetworks for Multi-Agent RL
   NeurIPS 2025 ·

   Kale-ab Abebe Tessera

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3. Online-to-Offline RL for Agent Alignment
   ICLR 2025 ·

   Xu Liu

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4. People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AI
   CHI 2025 ·

   Balint Gyevnar

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5. Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
   ICLR 2025 ·

   Samuel Garcin

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6. Causal Explanations for Sequential Decision-Making in Multi-Agent Systems
   AAMAS 2024 ·

   Balint Gyevnar

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7. Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
   AAAI 2024 ·

   Guy Azran

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8. DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
   ICML 2024 ·

   Samuel Garcin

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9. Learning Complex Teamwork Tasks using a Given Sub-task Decomposition
   AAMAS 2024 ·

   Elliot Fosong

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10. Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
    IROS 2024 ·

    Aleksandar Krnjaic

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11. Skill-aware Mutual Information Optimisation for Zero-shot Generalisation in Reinforcement Learning
    NeurIPS 2024 ·

    Xuehui Yu

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12. lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning
    ICLR 2024 ·

    Shangmin Guo

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