Sheila A. McIlraith

Full Professor, Department of Computer Science, University of Toronto

Joined

July 2019

Names

Sheila A. McIlraith (Preferred)

Emails

****@cs.toronto.edu (Confirmed)

Personal Links

Career & Education History

Full Professor

Department of Computer Science, University of Toronto (cs.toronto.edu)

2012 – Present

Advisors, Relations & Conflicts

Advisor

Ray Reiter

1997 – 1997

Expertise

reinforcement learning

linear temporal logic

LTL

automata

Present

symbolic planning

HRL

Present

abstraction

reinforcement learning

Present

goal-directed RL

Present

AI safety

Present

inverse reinforcement learning

Present

Publications

Language Models For PDDL Planning: Generating Sound and Programmatic Policies
Dillon Ze Chen, Johannes Zenn, Tristan Cinquin, Sheila A. McIlraith
- RLC 2025 Workshop PRL
- Readers: Everyone
Language Models For PDDL Planning: Generating Sound and Programmatic Policies
Dillon Ze Chen, Johannes Zenn, Tristan Cinquin, Sheila A. McIlraith
- EWRL 2025 Poster
- Readers: Everyone
Auditing, Monitoring, and Intervention for Compliance of Advanced AI Systems
Parand A. Alamdari, Toryn Q. Klassen, Sheila A. McIlraith
- ICML 2025 R2-FM Workshop Poster
- Readers: Everyone
Gauss-Newton Unlearning for the LLM Era
Lev E McKinney, Anvith Thudi, Juhan Bae, Tara Rezaei Kheirkhah, Nicolas Papernot, Sheila A. McIlraith, Roger Baker Grosse
- MUGen @ ICML 2025 Poster
- Readers: Everyone
Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data
Andrew C Li, Toryn Q. Klassen, Andrew Wang, Parand A. Alamdari, Sheila A. McIlraith
- NeurIPS 2025 poster
- Readers: Everyone
Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit Trivedi, 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, Jord Nguyen, Emanuel Tewolde, Jebish Purbey, Ram Mohan Rao Kadiyala et al. (66 additional authors not shown)
- NeurIPS 2025 Datasets and Benchmarks Track poster
- Readers: Everyone
Better Training Data Attribution via Better Inverse Hessian-Vector Products
Andrew Wang, Elisa Nguyen, Runshi Yang, Juhan Bae, Sheila A. McIlraith, Roger Baker Grosse
- NeurIPS 2025 poster
- Readers: Everyone
Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers
Shalev Lifshitz, Sheila A. McIlraith, Yilun Du
- COLM 2025
- Readers: Everyone
Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers (Abridged)
Shalev Lifshitz, Sheila A. McIlraith, Yilun Du
- MCDC @ ICLR 2025
- Readers: Everyone
Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers (Abridged)
Shalev Lifshitz, Sheila A. McIlraith, Yilun Du
- SSI-FM Poster
- Readers: Everyone

View all 249 publications

Co-Authors

View all 336 co-authors