Shayegan Omidshafiei

Chief Scientific Officer, FieldAI

Joined

January 2017

Names

Emails

****@mit.edu (Confirmed)

****@google.com (Confirmed)

****@deepmind.com (Confirmed)

****@gmail.com (Confirmed)

****@fieldai.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Chief Scientific Officer

FieldAI (fieldai.com)

2024 – Present

Research Scientist

Google DeepMind / Research (google.com)

2018 – 2024

Advisors, Relations & Conflicts

Coworker

Dong-Ki Kim

2017 – Present

PhD Advisor

JONATHAN P HOW

2013 – 2018

Expertise

reinforcement learning

2013 – Present

multiagent reinforcement learning

2013 – Present

Publications

Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation
Jacob Levy, Tyler Westenbroek, Kevin Huang, Fernando Palafox, Patrick Yin, Shayegan Omidshafiei, Dong-Ki Kim, Abhishek Gupta, David Fridovich-Keil
- ICLR 2026 Workshop World Models
- Readers: Everyone
Don't Run with Scissors: Pruning Breaks VLA Models but They Can Be Recovered
Jason Jabbour, Dong-Ki Kim, Max Olan Smith, Jay Patrikar, Radhika Ghosal, Youhui Wang, Ali-akbar Agha-mohammadi, Vijay Janapa Reddi, Shayegan Omidshafiei
- Submitted to ICLR 2026
- Readers: Everyone
Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering
Muhammad Fadhil Ginting, Dong-Ki Kim, Xiangyun Meng, Andrzej Marek Reinke, Bandi Jai Krishna, Navid Kayhani, Oriana Peltzer, David Fan, Amirreza Shaban, Sung-Kyun Kim, Mykel Kochenderfer, Ali-akbar Agha-mohammadi, Shayegan Omidshafiei
- CoRL 2025 Poster
- Readers: Everyone
Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation
Katherine M. Collins, Najoung Kim, Yonatan Bitton, Verena Rieser, Shayegan Omidshafiei, Yushi Hu, Sherol Chen, Senjuti Dutta, Minsuk Chang, Kimin Lee, Youwei Liang, Georgina Evans, Sahil Singla, Gang Li, Adrian Weller, Junfeng He, Deepak Ramachandran, Krishnamurthy Dj Dvijotham
- ICML 2024 Workshop MHFAIA Poster
- Readers: Everyone
Adaptive Accompaniment with ReaLchords
Yusong Wu, Tim Cooijmans, Kyle Kastner, Adam Roberts, Ian Simon, Alexander Scarlatos, Chris Donahue, Cassie Tarakajian, Shayegan Omidshafiei, Aaron Courville, Pablo Samuel Castro, Natasha Jaques, Cheng-Zhi Anna Huang
- ICML 2024 Poster
- Readers: Everyone
Algorithms for Optimal Adaptation ofDiffusion Models to Reward Functions
Krishnamurthy Dj Dvijotham, Shayegan Omidshafiei, Kimin Lee, Katherine M. Collins, Deepak Ramachandran, Adrian Weller, Mohammad Ghavamzadeh, Milad Nasr, Ying Fan, Jeremiah Zhe Liu
- Frontiers4LCD
- Readers: Everyone
Concept-based Understanding of Emergent Multi-Agent Behavior
Niko Grupen, Natasha Jaques, Been Kim, Shayegan Omidshafiei
- 08 Oct 2022 (modified: 05 May 2023)
- Deep RL Workshop 2022
- Readers: Everyone
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis
Shayegan Omidshafiei, Andrei Kapishnikov, Yannick Assogba, Lucas Dixon, Been Kim
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
Julien Pérolat, Bart De Vylder, Daniel Hennes, Eugene Tarassov, Florian Strub, Vincent de Boer, Paul Muller, Jerome T. Connor, Neil Burch, Thomas W. Anthony, Stephen McAleer, Romuald Elie, Sarah H. Cen, Zhe Wang, Audrunas Gruslys, Aleksandra Malysheva, Mina Khan, Sherjil Ozair, Finbarr Timbers, Toby Pohlen et al. (14 additional authors not shown)
- 2022 (modified: 15 Apr 2023)
- CoRR 2022
- Readers: Everyone
Game Theoretic Rating in N-player general-sum games with Equilibria
Luke Marris, Marc Lanctot, Ian Gemp, Shayegan Omidshafiei, Stephen McAleer, Jerome T. Connor, Karl Tuyls, Thore Graepel
- 2022 (modified: 15 Apr 2023)
- CoRR 2022
- Readers: Everyone

View all 62 publications

Co-Authors

View all 193 co-authors