Shayegan Omidshafiei

75 papers A* 14A 7Journal 52Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation. CoRR Jacob Levy, Tyler Westenbroek, Kevin Huang, Fernando Palafox, Patrick Yin, Shayegan Omidshafiei, Dong-Ki Kim, Abhishek Gupta, David Fridovich-Keil
2026	J	`jnl`	World Model Failure Classification and Anomaly Detection for Autonomous Inspection. CoRR Michelle Ho, Muhammad Fadhil Ginting, Isaac Ronald Ward, Andrzej Reinke, Mykel J. Kochenderfer, Ali Akbar Aghamohammadi, Shayegan Omidshafiei
2025	J	`jnl`	Adaptive Accompaniment with ReaLchords. CoRR 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
2025	J	`jnl`	Co-Me: Confidence-Guided Token Merging for Visual Geometric Transformers. CoRR Yutian Chen, Yuheng Qiu, Ruogu Li, Ali Agha, Shayegan Omidshafiei, Jay Patrikar, Sebastian Scherer
2025	J	`jnl`	Delay-Aware Diffusion Policy: Bridging the Observation-Execution Gap in Dynamic Tasks. CoRR Aileen Liao, Dong-Ki Kim, Max Olan Smith, Ali-Akbar Agha-Mohammadi, Shayegan Omidshafiei
2025	J	`jnl`	Don't Run with Scissors: Pruning Breaks VLA Models but They Can Be Recovered. CoRR Jason Jabbour, Dong-Ki Kim, Max Olan Smith, Jay Patrikar, Radhika Ghosal, Youhui Wang, Ali Agha, Vijay Janapa Reddi, Shayegan Omidshafiei
2025	J	`jnl`	Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering. CoRR Muhammad Fadhil Ginting, Dong-Ki Kim, Xiangyun Meng, Andrzej Reinke, Bandi Jai Krishna, Navid Kayhani, Oriana Peltzer, David D. Fan, Amirreza Shaban, Sung-Kyun Kim, Mykel J. Kochenderfer, Ali-Akbar Agha-Mohammadi, Shayegan Omidshafiei
2025	J	`jnl`	FALCON: Learning Force-Adaptive Humanoid Loco-Manipulation. CoRR Yuanhang Zhang, Yifu Yuan, Prajwal Gurunath, Tairan He, Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Marcell Vazquez-Chanlatte, Liam Pedersen, Guanya Shi
2025	J	`jnl`	GrndCtrl: Grounding World Models via Self-Supervised Reward Alignment. CoRR Haoyang He, Jay Patrikar, Dong-Ki Kim, Max Smith, Daniel McGann, Ali-Akbar Agha-Mohammadi, Shayegan Omidshafiei, Sebastian Scherer
2025	J	`jnl`	Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping. CoRR Srivatsan Krishnan, Jason Jabbour, Dan Zhang, Natasha Jaques, Aleksandra Faust, Shayegan Omidshafiei, Vijay Janapa Reddi
2025	J	`jnl`	Planning with Sketch-Guided Verification for Physics-Aware Video Generation. CoRR Yidong Huang, Zun Wang, Han Lin, Dong-Ki Kim, Shayegan Omidshafiei, Jaehong Yoon, Yue Zhang, Mohit Bansal
2025	A*	`conf`	SayComply: Grounding Field Robotic Tasks in Operational Compliance Through Retrieval-Based Language Models. ICRA Muhammad Fadhil Ginting, Dong-Ki Kim, Sung-Kyun Kim, Bandi Jai Krishna, Mykel J. Kochenderfer, Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi
2025	J	`jnl`	StageACT: Stage-Conditioned Imitation for Robust Humanoid Door Opening. CoRR Moonyoung Lee, Dong-Ki Kim, Bandi Jai Krishna, Max Olan Smith, Aileen Liao, Ali-Akbar Agha-Mohammadi, Shayegan Omidshafiei
2025	J	`jnl`	VENTURA: Adapting Image Diffusion Models for Unified Task Conditioned Navigation. CoRR Arthur Zhang, Xiangyun Meng, Luca Calliari, Dong-Ki Kim, Shayegan Omidshafiei, Joydeep Biswas, Ali Agha, Amirreza Shaban
2024	A*	`conf`	Adaptive Accompaniment with ReaLchords. ICML 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
2024	—	`conf`	Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation. AIES (1) 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
2024	J	`jnl`	Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation. CoRR 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
2024	J	`jnl`	Collision Avoidance Verification of Multiagent Systems With Learned Policies. IEEE Control. Syst. Lett. Zihao Dong, Shayegan Omidshafiei, Michael Everett
2024	J	`jnl`	Collision Avoidance Verification of Multiagent Systems with Learned Policies. CoRR Zihao Dong, Shayegan Omidshafiei, Michael Everett
2024	J	`jnl`	SayComply: Grounding Field Robotic Tasks in Operational Compliance through Retrieval-Based Language Models. CoRR Muhammad Fadhil Ginting, Dong-Ki Kim, Sung-Kyun Kim, Bandi Jai Krishna, Mykel J. Kochenderfer, Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi
2023	J	`jnl`	DRIP: Domain Refinement Iteration With Polytopes for Backward Reachability Analysis of Neural Feedback Loops. IEEE Control. Syst. Lett. Michael Everett, Rudy Bunel, Shayegan Omidshafiei
2023	J	`jnl`	Deconstructing Cooperation and Ostracism via Multi-Agent Reinforcement Learning. CoRR Atsushi Ueshima, Shayegan Omidshafiei, Hirokazu Shirado
2022	A*	`conf`	Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis. NeurIPS Shayegan Omidshafiei, Andrei Kapishnikov, Yannick Assogba, Lucas Dixon, Been Kim
2022	J	`jnl`	Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis. CoRR Shayegan Omidshafiei, Andrei Kapishnikov, Yannick Assogba, Lucas Dixon, Been Kim
2022	J	`jnl`	DRIP: Domain Refinement Iteration with Polytopes for Backward Reachability Analysis of Neural Feedback Loops. CoRR Michael Everett, Rudy Bunel, Shayegan Omidshafiei
2022	J	`jnl`	Evolutionary Dynamics and Phi-Regret Minimization in Games. J. Artif. Intell. Res. Georgios Piliouras, Mark Rowland, Shayegan Omidshafiei, Romuald Elie, Daniel Hennes, Jerome T. Connor, Karl Tuyls
2022	J	`jnl`	From motor control to team play in simulated humanoid football. Sci. Robotics Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess
2022	J	`jnl`	Game Theoretic Rating in N-player general-sum games with Equilibria. CoRR Luke Marris, Marc Lanctot, Ian Gemp, Shayegan Omidshafiei, Stephen McAleer, Jerome T. Connor, Karl Tuyls, Thore Graepel
2022	J	`jnl`	Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning. CoRR 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, Tom Eccles, Mark Rowland, Marc Lanctot, Jean-Baptiste Lespiau, Bilal Piot, Shayegan Omidshafiei, Edward Lockhart, Laurent Sifre, Nathalie Beauguerlange, Rémi Munos, David Silver, Satinder Singh, Demis Hassabis, Karl Tuyls
2022	J	`jnl`	Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration. CoRR Srivatsan Krishnan, Natasha Jaques, Shayegan Omidshafiei, Dan Zhang, Izzeddin Gur, Vijay Janapa Reddi, Aleksandra Faust
2021	J	`jnl`	Evolutionary Dynamics and Φ-Regret Minimization in Games. CoRR Georgios Piliouras, Mark Rowland, Shayegan Omidshafiei, Romuald Elie, Daniel Hennes, Jerome T. Connor, Karl Tuyls
2021	J	`jnl`	From Motor Control to Team Play in Simulated Humanoid Football. CoRR Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess
2021	A*	`conf`	From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization. ICML Julien Pérolat, Rémi 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
2021	J	`jnl`	Game Plan: What AI can do for Football, and What Football can do for AI. J. Artif. Intell. Res. Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis
2021	J	`jnl`	Time-series Imputation of Temporally-occluded Multiagent Trajectories. CoRR Shayegan Omidshafiei, Daniel Hennes, Marta Garnelo, Eugene Tarassov, Zhe Wang, Romuald Elie, Jerome T. Connor, Paul Muller, Ian Graham, William Spearman, Karl Tuyls
2020	A*	`conf`	A Generalized Training Approach for Multiagent Learning. ICLR Paul Muller, Shayegan Omidshafiei, Mark Rowland, Karl Tuyls, Julien Pérolat, Siqi Liu, Daniel Hennes, Luke Marris, Marc Lanctot, Edward Hughes, Zhe Wang, Guy Lever, Nicolas Heess, Thore Graepel, Rémi Munos
2020	J	`jnl`	Crossmodal attentive skill learner: learning in Atari and beyond with audio-video inputs. Auton. Agents Multi Agent Syst. Dong-Ki Kim, Shayegan Omidshafiei, Jason Pazis, Jonathan P. How
2020	A*	`conf`	Fast computation of Nash Equilibria in Imperfect Information Games. ICML Rémi Munos, Julien Pérolat, 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
2020	J	`jnl`	From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization. CoRR Julien Pérolat, Rémi 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
2020	J	`jnl`	Game Plan: What AI can do for Football, and What Football can do for AI. CoRR Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis
2020	A	`conf`	Learning Hierarchical Teaching Policies for Cooperative Agents. AAMAS Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How
2020	J	`jnl`	Navigating the Landscape of Games. CoRR Shayegan Omidshafiei, Karl Tuyls, Wojciech M. Czarnecki, Francisco C. Santos, Mark Rowland, Jerome T. Connor, Daniel Hennes, Paul Muller, Julien Pérolat, Bart De Vylder, Audrunas Gruslys, Rémi Munos
2020	A	`conf`	Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients. AAMAS Daniel Hennes, Dustin Morrill, Shayegan Omidshafiei, Rémi Munos, Julien Pérolat, Marc Lanctot, Audrunas Gruslys, Jean-Baptiste Lespiau, Paavo Parmas, Edgar A. Duéñez-Guzmán, Karl Tuyls
2020	A*	`conf`	Real World Games Look Like Spinning Tops. NeurIPS Wojciech M. Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg
2020	J	`jnl`	Real World Games Look Like Spinning Tops. CoRR Wojciech Marian Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg
2019	J	`jnl`	A Generalized Training Approach for Multiagent Learning. CoRR Paul Muller, Shayegan Omidshafiei, Mark Rowland, Karl Tuyls, Julien Pérolat, Siqi Liu, Daniel Hennes, Luke Marris, Marc Lanctot, Edward Hughes, Zhe Wang, Guy Lever, Nicolas Heess, Thore Graepel, Rémi Munos
2019	J	`jnl`	Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning. CoRR Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How
2019	A*	`conf`	Learning to Teach in Cooperative Multiagent Reinforcement Learning. AAAI Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
2019	A*	`conf`	Multiagent Evaluation under Incomplete Information. NeurIPS Mark Rowland, Shayegan Omidshafiei, Karl Tuyls, Julien Pérolat, Michal Valko, Georgios Piliouras, Rémi Munos
2019	J	`jnl`	Multiagent Evaluation under Incomplete Information. CoRR Mark Rowland, Shayegan Omidshafiei, Karl Tuyls, Julien Pérolat, Michal Valko, Georgios Piliouras, Rémi Munos
2019	J	`jnl`	Neural Replicator Dynamics. CoRR Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Rémi Munos, Julien Pérolat, Marc Lanctot, Audrunas Gruslys, Jean-Baptiste Lespiau, Karl Tuyls
2019	J	`jnl`	OpenSpiel: A Framework for Reinforcement Learning in Games. CoRR Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau, Vinícius Flores Zambaldi, Satyaki Upadhyay, Julien Pérolat, Sriram Srinivasan, Finbarr Timbers, Karl Tuyls, Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Paul Muller, Timo Ewalds, Ryan Faulkner, János Kramár, Bart De Vylder, Brennan Saeta, James Bradbury, David Ding, Sebastian Borgeaud, Matthew Lai, Julian Schrittwieser, Thomas W. Anthony, Edward Hughes, Ivo Danihelka, Jonah Ryan-Davis
2019	A	`conf`	Policy Distillation and Value Matching in Multiagent Reinforcement Learning. IROS Samir Wadhwania, Dong-Ki Kim, Shayegan Omidshafiei, Jonathan P. How
2019	J	`jnl`	Policy Distillation and Value Matching in Multiagent Reinforcement Learning. CoRR Samir Wadhwania, Dong-Ki Kim, Shayegan Omidshafiei, Jonathan P. How
2019	J	`jnl`	α-Rank: Multi-Agent Evaluation by Evolution. CoRR Shayegan Omidshafiei, Christos H. Papadimitriou, Georgios Piliouras, Karl Tuyls, Mark Rowland, Jean-Baptiste Lespiau, Wojciech M. Czarnecki, Marc Lanctot, Julien Pérolat, Rémi Munos
2018	A	`conf`	Crossmodal Attentive Skill Learner. AAMAS Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan P. How
2018	J	`jnl`	Learning to Teach in Cooperative Multiagent Reinforcement Learning. CoRR Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
2017	J	`jnl`	Crossmodal Attentive Skill Learner. CoRR Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan P. How
2017	J	`jnl`	Decentralized control of multi-robot partially observable Markov decision processes using belief space macro-actions. Int. J. Robotics Res. Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Christopher Amato, Shih-Yuan Liu, Jonathan P. How, John Vian
2017	A*	`conf`	Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability. ICML Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian
2017	J	`jnl`	Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability. CoRR Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian
2017	J	`jnl`	Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions. CoRR Miao Liu, Kavinayan Sivakumar, Shayegan Omidshafiei, Christopher Amato, Jonathan P. How
2017	A	`conf`	Learning for multi-robot cooperation in partially observable stochastic environments with macro-actions. IROS Miao Liu, Kavinayan Sivakumar, Shayegan Omidshafiei, Christopher Amato, Jonathan P. How
2017	J	`jnl`	Scalable Accelerated Decentralized Multi-Robot Policy Search in Continuous Observation Spaces. CoRR Shayegan Omidshafiei, Christopher Amato, Miao Liu, Michael Everett, Jonathan P. How, John Vian
2017	A*	`conf`	Scalable accelerated decentralized multi-robot policy search in continuous observation spaces. ICRA Shayegan Omidshafiei, Christopher Amato, Miao Liu, Michael Everett, Jonathan P. How, John Vian
2017	J	`jnl`	Semantic-level Decentralized Multi-Robot Decision-Making using Probabilistic Macro-Observations. CoRR Shayegan Omidshafiei, Shih-Yuan Liu, Michael Everett, Brett T. Lopez, Christopher Amato, Miao Liu, Jonathan P. How, John Vian
2017	A*	`conf`	Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations. ICRA Shayegan Omidshafiei, Shih-Yuan Liu, Michael Everett, Brett T. Lopez, Christopher Amato, Miao Liu, Jonathan P. How, John Vian
2016	A*	`conf`	Graph-based Cross Entropy method for solving multi-robot decentralized POMDPs. ICRA Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Christopher Amato, Shih-Yuan Liu, Jonathan P. How, John Vian
2016	J	`jnl`	Hierarchical Bayesian Noise Inference for Robust Real-time Probabilistic Object Classification. CoRR Shayegan Omidshafiei, Brett T. Lopez, Jonathan P. How, John Vian
2016	J	`jnl`	Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models. Autom. Hongchuan Wei, Wenjie Lu, Pingping Zhu, Silvia Ferrari, Miao Liu, Robert H. Klein, Shayegan Omidshafiei, Jonathan P. How
2015	J	`jnl`	Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions. CoRR Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Christopher Amato, Jonathan P. How
2015	A*	`conf`	Decentralized control of Partially Observable Markov Decision Processes using belief space macro-actions. ICRA Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Christopher Amato, Jonathan P. How
2015	A	`conf`	Online heterogeneous multiagent learning under limited communication with applications to forest fire management. IROS N. Kemal Ure, Shayegan Omidshafiei, Brett Thomas Lopez, Ali-Akbar Agha-Mohammadi, Jonathan P. How, John Vian
2015	—	`conf`	Probabilistic Planning for Decentralized Multi-Robot Systems. AAAI Fall Symposia Christopher Amato, George Dimitri Konidaris, Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Jonathan P. How, Leslie Pack Kaelbling
2014	A	`conf`	Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models. IROS Hongchuan Wei, Wenjie Lu, Pingping Zhu, Silvia Ferrari, Robert H. Klein, Shayegan Omidshafiei, Jonathan P. How