PPaperPicks

Alessandro Abate

19 papers at tracked venues · 14 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Joar Max Viktor Skalse
×4
Michael J. Wooldridge
×3
Hosein Hasanbeig
×2
Daniel Kroening
×2
Wei-Chen Lee
×2
Luckeciano Carvalho Melo
×2
Yarin Gal
×2
Thom Badings
×1
Giuseppe De Giacomo
×1
Francesco Fabiano
×1
Yannik Schnitzer
×1
David Parker
×1

Papers

  1. Best-Effort Policies for Robust Markov Decision Processes
    AAAI 2026 · Alessandro Abate,
    Thom Badings
    ,
    Giuseppe De Giacomo
    ,
    Francesco Fabiano
  2. Efficient Solution and Learning of Robust Factored MDPs
    AAAI 2026 ·
    Yannik Schnitzer
    , Alessandro Abate,
    David Parker
  3. Incremental Data-Driven Policy Synthesis via Game Abstractions
    AAAI 2026 ·
    Irmak Saglam
    ,
    Mahdi Nazeri
    , Alessandro Abate,
    Sadegh Soudjani
    ,
    Anne-Kathrin Schmuck
  4. Symbolic Task Inference in Deep Reinforcement Learning (Abstract Reprint)
    AAAI 2026 ·
    Hosein Hasanbeig
    ,
    Natasha Yogananda Jeppu
    , Alessandro Abate,
    Tom Melham
    ,
    Daniel Kroening
  5. DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
    ICLR 2025 ·
    Mathias Jackermeier
    , Alessandro Abate
  6. Equilibrium Selection via Communication Partition
    AAMAS 2025 ·
    Wei-Chen Lee
    , Alessandro Abate,
    Michael J. Wooldridge
  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
    , Alessandro Abate
  9. Partition Equilibria in Weighted Singleton Congestion Games
    ECAI 2025 ·
    Wei-Chen Lee
    , Alessandro Abate,
    Michael J. Wooldridge
  10. SPoRt - Safe Policy Ratio: Certified Training and Deployment of Task Policies in Model-Free RL
    IJCAI 2025 ·
    Jacques Cloete
    ,
    Nikolaus Vertovec
    , Alessandro Abate
  11. Temporal-Difference Variational Continual Learning
    NeurIPS 2025 ·
    Luckeciano Carvalho Melo
    , Alessandro Abate,
    Yarin Gal
  12. The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret
    ICML 2025 ·
    Lukas Fluri
    ,
    Leon Lang
    , Alessandro Abate,
    Patrick Forré
    ,
    David Krueger
    ,
    Joar Max Viktor Skalse
  13. Deep Bayesian Active Learning for Preference Modeling in Large Language Models
    NeurIPS 2024 ·
    Luckeciano Carvalho Melo
    ,
    Panagiotis Tigas
    , Alessandro Abate,
    Yarin Gal
  14. Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification
    ICLR 2024 ·
    Joar Max Viktor Skalse
    , Alessandro Abate
  15. Reasoning about Causality in Games (Abstract Reprint)
    AAAI 2024 ·
    Lewis Hammond
    ,
    James Fox
    ,
    Tom Everitt
    ,
    Ryan Carey
    , Alessandro Abate,
    Michael J. Wooldridge
  16. STARC: A General Framework For Quantifying Differences Between Reward Functions
    ICLR 2024 ·
    Joar Max Viktor Skalse
    ,
    Lucy Farnik
    ,
    Sumeet Ramesh Motwani
    ,
    Erik Jenner
    ,
    Adam Gleave
    , Alessandro Abate
  17. Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis
    AAAI 2024 ·
    Rohan Mitta
    ,
    Hosein Hasanbeig
    ,
    Jun Wang
    ,
    Daniel Kroening
    ,
    Yiannis Kantaros
    , Alessandro Abate
  18. Stability Analysis of Switched Linear Systems with Neural Lyapunov Functions
    AAAI 2024 ·
    Virginie Debauche
    ,
    Alec Edwards
    ,
    Raphaël M. Jungers
    , Alessandro Abate
  19. Walking the Values in Bayesian Inverse Reinforcement Learning
    UAI 2024 ·
    Ondrej Bajgar
    , Alessandro Abate,
    Konstantinos Gatsis
    ,
    Michael A. Osborne