PPaperPicks

Sheila A. McIlraith

8 papers at tracked venues · 7 at CORE A* · active 2024–2026

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Venues

NeurIPS ×4AAAI ×2ICML ×1KR ×1

Frequent coauthors

Toryn Q. Klassen
×6
Andrew Wang
×2
Andrew C. Li
×2
Parand A. Alamdari
×2
Dillon Z. Chen
×1
Till Hofmann
×1
Elisa Nguyen
×1
Runshi Yang
×1
Juhan Bae
×1
Roger Baker Grosse
×1
Chandler Smith
×1
Marwa Abdulhai
×1

Papers

  1. Satisficing and Optimal Generalised Planning via Goal Regression
    AAAI 2026 ·
    Dillon Z. Chen
    ,
    Till Hofmann
    ,
    Toryn Q. Klassen
    , Sheila A. McIlraith
  2. Better Training Data Attribution via Better Inverse Hessian-Vector Products
    NeurIPS 2025 ·
    Andrew Wang
    ,
    Elisa Nguyen
    ,
    Runshi Yang
    ,
    Juhan Bae
    , Sheila A. McIlraith,
    Roger Baker Grosse
  3. Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
    NeurIPS 2025 ·
    Chandler Smith
    ,
    Marwa Abdulhai
    ,
    Manfred Diaz
    ,
    Marko Tesic
    ,
    Rakshit S. Trivedi
    ,
    Alexander Sasha Vezhnevets
    ,
    Lewis Hammond
    ,
    Jesse Clifton
    ,
    Minsuk Chang
    ,
    Edgar A. Duéñez-Guzmán
    ,
    John P. Agapiou
    ,
    Jayd Matyas
    ,
    Danny Karmon
    ,
    Beining Zhang
    ,
    Jim Dilkes
    ,
    Akash Kundu
    ,
    Hieu Minh Nguyen
    ,
    Emanuel Tewolde
    ,
    Jebish Purbey
    ,
    Ram Mohan Rao Kadiyala
    ,
    Siddhant Gupta
    ,
    Aliaksei Korshuk
    ,
    Buyantuev Alexander
    ,
    Ilya Makarov
    ,
    Gang Zhao
    ,
    Rolando Fernandez
    ,
    Zhihan Wang
    ,
    Caroline Wang
    ,
    Jiaxun Cui
    ,
    Lingyun Xiao
    ,
    Di Shi
    ,
    Yoonchang Sung
    ,
    Muhammad Arrasy Rahman
    ,
    Peter Stone
    ,
    Yipeng Kang
    ,
    Hyeonggeun Yun
    ,
    Ananya Ananya
    ,
    Taehun Cha
    ,
    Zhiqiang Wu
    ,
    Elizaveta Tennant
    ,
    Olivia Macmillan-Scott
    ,
    Marta Segura
    ,
    Diana Riazi
    ,
    Fuyang Cui
    ,
    Sriram Ganapathi
    ,
    Toryn Q. Klassen
    ,
    Nico Schiavone
    ,
    Mogtaba Alim
    , Sheila A. McIlraith,
    Manuel Ríos
    ,
    Oswaldo Peña
    ,
    Carlos Rojas
    ,
    Manuela Chacon-Chamorro
    ,
    Rubén Manrique
    ,
    Luis Felipe Giraldo
    ,
    Nicanor Quijano
    ,
    Yiding Wang
    ,
    Yuxuan Chen
    ,
    Fangwei Zhong
    ,
    Mengmeng Wang
    ,
    Wenming Tu
    ,
    Zhaowei Zhang
    ,
    Ziang Chen
    ,
    Zixia Jia
    ,
    Xue Feng
    ,
    Zilong Zheng
    ,
    Chichen Lin
    ,
    Weijian Fan
    ,
    Chenao Liu
    ,
    Sneheel Sarangi
    ,
    Ziyan Wang
    ,
    Shuqing Shi
    ,
    Yali Du
    ,
    Avinaash Anand Kulandaivel
    ,
    Yang Liu
    ,
    Ruiyang Wu
    ,
    Chetan Talele
    ,
    Sunjia Lu
    ,
    Gema Parreno
    ,
    Shamika Dhuri
    ,
    Bain McHale
    ,
    Tim Baarslag
    ,
    Dylan Hadfield-Menell
    ,
    Natasha Jaques
    ,
    José Hernández-Orallo
    ,
    Joel Z. Leibo
  4. Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data
    NeurIPS 2025 ·
    Andrew C. Li
    ,
    Toryn Q. Klassen
    ,
    Andrew Wang
    ,
    Parand A. Alamdari
    , Sheila A. McIlraith
  5. Pushdown Reward Machines for Reinforcement Learning
    KR 2025 ·
    Giovanni Varricchione
    ,
    Toryn Q. Klassen
    ,
    Natasha Alechina
    ,
    Mehdi Dastani
    ,
    Brian Logan
    , Sheila A. McIlraith
  6. PRP Rebooted: Advancing the State of the Art in FOND Planning
    AAAI 2024 ·
    Christian Muise
    , Sheila A. McIlraith,
    J. Christopher Beck
  7. Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
    ICML 2024 ·
    Parand A. Alamdari
    ,
    Toryn Q. Klassen
    ,
    Elliot Creager
    , Sheila A. McIlraith
  8. Reward Machines for Deep RL in Noisy and Uncertain Environments
    NeurIPS 2024 ·
    Andrew C. Li
    ,
    Zizhao Chen
    ,
    Toryn Q. Klassen
    ,
    Pashootan Vaezipoor
    ,
    Rodrigo Toro Icarte
    , Sheila A. McIlraith