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Shayegan Omidshafiei

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

16

Venues

6

Active years

2014–2025

Best venue rank

A*

Where they publish

Papers

16 indexed papers, newest first.

YearVenueTitleAuthors
2025ICRASayComply: Grounding Field Robotic Tasks in Operational Compliance Through Retrieval-Based Language Models.Muhammad Fadhil Ginting, Dong-Ki Kim, Sung-Kyun Kim, Bandi Jai Krishna, Mykel J. Kochenderfer, Shayegan Omidshafiei, Ali-akbar Agha-mohammadi
2024AIESBeyond 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
2024ICMLAdaptive Accompaniment with ReaLchords.Yusong Wu, Tim Cooijmans, Kyle Kastner, Adam Roberts, Ian Simon, Alexander Scarlatos, Chris Donahue, Cassie Tarakajian, Shayegan Omidshafiei, Aaron C. Courville, Pablo Samuel Castro, Natasha Jaques, Cheng-Zhi Anna Huang
2021ICMLFrom Poincar Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization.Julien Prolat, Rmi Munos, Jean-Baptiste Lespiau, Shayegan Omidshafiei, Mark Rowland, Pedro A. Ortega, Neil Burch, Thomas W. Anthony, David Balduzzi, Bart De Vylder, Georgios Piliouras, Marc Lanctot, Karl Tuyls
2020ICLRA Generalized Training Approach for Multiagent Learning.Paul Muller, Shayegan Omidshafiei, Mark Rowland, Karl Tuyls, Julien Prolat, Siqi Liu, Daniel Hennes, Luke Marris, Marc Lanctot, Edward Hughes, Zhe Wang, Guy Lever, Nicolas Heess, Thore Graepel, Rmi Munos
2020ICMLFast computation of Nash Equilibria in Imperfect Information Games.Rmi Munos, Julien Prolat, Jean-Baptiste Lespiau, Mark Rowland, Bart De Vylder, Marc Lanctot, Finbarr Timbers, Daniel Hennes, Shayegan Omidshafiei, Audrunas Gruslys, Mohammad Gheshlaghi Azar, Edward Lockhart, Karl Tuyls
2019AAAILearning to Teach in Cooperative Multiagent Reinforcement Learning.Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
2019IROSPolicy Distillation and Value Matching in Multiagent Reinforcement Learning.Samir Wadhwania, Dong-Ki Kim, Shayegan Omidshafiei, Jonathan P. How
2017ICMLDeep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability.Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian
2017ICRAScalable accelerated decentralized multi-robot policy search in continuous observation spaces.Shayegan Omidshafiei, Christopher Amato, Miao Liu, Michael Everett, Jonathan P. How, John Vian
2017ICRASemantic-level decentralized multi-robot decision-making using probabilistic macro-observations.Shayegan Omidshafiei, Shih-Yuan Liu, Michael Everett, Brett T. Lopez, Christopher Amato, Miao Liu, Jonathan P. How, John Vian
2017IROSLearning for multi-robot cooperation in partially observable stochastic environments with macro-actions.Miao Liu, Kavinayan Sivakumar, Shayegan Omidshafiei, Christopher Amato, Jonathan P. How
2016ICRAGraph-based Cross Entropy method for solving multi-robot decentralized POMDPs.Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Christopher Amato, Shih-Yuan Liu, Jonathan P. How, John Vian
2015ICRADecentralized control of Partially Observable Markov Decision Processes using belief space macro-actions.Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Christopher Amato, Jonathan P. How
2015IROSOnline heterogeneous multiagent learning under limited communication with applications to forest fire management.N. Kemal Ure, Shayegan Omidshafiei, Brett Thomas Lopez, Ali-akbar Agha-mohammadi, Jonathan P. How, John Vian
2014IROSCamera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models.Hongchuan Wei, Wenjie Lu, Pingping Zhu, Silvia Ferrari, Robert H. Klein, Shayegan Omidshafiei, Jonathan P. How