Alessandro Abate

Venues

Frequent coauthors

Papers

1. Best-Effort Policies for Robust Markov Decision Processes
   AAAI 2026 · Alessandro Abate
2. Efficient Solution and Learning of Robust Factored MDPs
   AAAI 2026 ·

   Yannik Schnitzer

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3. Incremental Data-Driven Policy Synthesis via Game Abstractions
   AAAI 2026 ·

   Irmak Saglam

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4. Symbolic Task Inference in Deep Reinforcement Learning (Abstract Reprint)
   AAAI 2026 ·

   Hosein Hasanbeig

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5. DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
   ICLR 2025 ·

   Mathias Jackermeier

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6. Equilibrium Selection via Communication Partition
   AAMAS 2025 ·

   Wei-Chen Lee

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7. Neural Proofs for Sound Verification and Control of Complex Systems
   ECAI 2025 · Alessandro Abate
8. Partial Identifiability in Inverse Reinforcement Learning for Agents with Non-Exponential Discounting
   AAAI 2025 ·

   Joar Max Viktor Skalse

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9. Partition Equilibria in Weighted Singleton Congestion Games
   ECAI 2025 ·

   Wei-Chen Lee

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10. SPoRt - Safe Policy Ratio: Certified Training and Deployment of Task Policies in Model-Free RL
    IJCAI 2025 ·

    Jacques Cloete

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11. Temporal-Difference Variational Continual Learning
    NeurIPS 2025 ·

    Luckeciano Carvalho Melo

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12. The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret
    ICML 2025 ·

    Lukas Fluri

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13. Deep Bayesian Active Learning for Preference Modeling in Large Language Models
    NeurIPS 2024 ·

    Luckeciano Carvalho Melo

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14. Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification
    ICLR 2024 ·

    Joar Max Viktor Skalse

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15. Reasoning about Causality in Games (Abstract Reprint)
    AAAI 2024 ·

    Lewis Hammond

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16. STARC: A General Framework For Quantifying Differences Between Reward Functions
    ICLR 2024 ·

    Joar Max Viktor Skalse

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17. Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis
    AAAI 2024 ·

    Rohan Mitta

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18. Stability Analysis of Switched Linear Systems with Neural Lyapunov Functions
    AAAI 2024 ·

    Virginie Debauche

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19. Walking the Values in Bayesian Inverse Reinforcement Learning
    UAI 2024 ·

    Ondrej Bajgar

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