Shayegan Omidshafiei
Shayegan Omidshafiei
Google DeepMind
Verified email at mit.edu - Homepage
TitleCited byYear
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
S Omidshafiei, J Pazis, C Amato, JP How, J Vian
Proceedings of the 34th International Conference on Machine Learning (ICML …, 2017
1192017
Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions
S Omidshafiei, A Agha-mohammadi, C Amato, JP How
IEEE International Conference on Robotics and Automation (ICRA), 5962-5969, 2015
402015
MAR-CPS: Measurable augmented reality for prototyping cyber-physical systems
S Omidshafiei, AA Agha-Mohammadi, YF Chen, NK Üre, JP How, JL Vian, ...
AIAA Infotech@ Aerospace, 0643, 2015
212015
Decentralized control of multi-robot partially observable Markov decision processes using belief space macro-actions
S Omidshafiei, AA Agha–Mohammadi, C Amato, SY Liu, JP How, J Vian
The International Journal of Robotics Research (IJRR), 0278364917692864, 2017
202017
Graph-based Cross Entropy Method for Solving Multi-Robot Decentralized POMDPs
S Omidshafiei, A Agha-mohammadi, C Amato, SY Liu, JP How, J Vian
IEEE International Conference on Robotics and Automation (ICRA), 5395-5402, 2016
152016
Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models
H Wei, W Lu, P Zhu, S Ferrari, RH Klein, S Omidshafiei, JP How
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 95-102, 2014
152014
{\alpha}-Rank: Multi-Agent Evaluation by Evolution
S Omidshafiei, C Papadimitriou, G Piliouras, K Tuyls, M Rowland, ...
arXiv preprint arXiv:1903.01373, 2019
142019
Measurable augmented reality for prototyping cyberphysical systems: A robotics platform to aid the hardware prototyping and performance testing of algorithms
S Omidshafiei, AA Agha-Mohammadi, YF Chen, NK Ure, SY Liu, ...
IEEE Control Systems 36 (6), 65-87, 2016
142016
Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions
M Liu, K Sivakumar, S Omidshafiei, C Amato, JP How
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2017, 2017
132017
Learning to Teach in Cooperative Multiagent Reinforcement Learning
S Omidshafiei, DK Kim, M Liu, G Tesauro, M Riemer, C Amato, ...
AAAI 2019, Best Student Paper Honorable Mention, 2019
102019
Hierarchical bayesian noise inference for robust real-time probabilistic object classification
S Omidshafiei, BT Lopez, JP How, J Vian
arXiv preprint arXiv:1605.01042, 2016
72016
Health-aware multi-UAV planning using decentralized partially observable semi-Markov decision processes
S Omidshafiei, A Agha-mohammadi, C Amato, SY Liu, JP How, JL Vian
AIAA infotech@ aerospace, 1407, 2016
62016
Simultaneous mapping and planning by a robot
A Aghamohammadi, BF Behabadi, C Lott, S Omidshafiei, ...
US Patent App. 15/192,719, 2017
52017
Information Value in Nonparametric Dirichlet-Process Gaussian-Process (DPGP) Mixture Models
H Wei, W Lu, P Zhu, S Ferrari, M Liu, RH Klein, S Omidshafiei, JP How
Automatica 74 (2016) 360–368, 2016
52016
Reinforcement Learning-based Quadcopter Control
S Omidshafiei
Technical Report, 2013
52013
Active camera movement determination for object position and extent in three-dimensional space
RB TOWAL, S OMIDSHAFIEI, A AGHAMOHAMMADI
US Patent App. 10/268,188, 2019
42019
Scalable Accelerated Decentralized Multi-Robot Policy Search in Continuous Observation Spaces
S Omidshafiei, C Amato, M Liu, M Everett, JP How, J Vian
IEEE International Conference on Robotics and Automation (ICRA) 2017, 2017
32017
Probabilistic planning for decentralized multi-robot systems
C Amato, G Konidaris, S Omidshafiei, A Agha-mohammadi, JP How, ...
2015 AAAI Fall Symposium Series, 2015
32015
Online heterogeneous multiagent learning under limited communication with applications to forest fire management
NK Ure, S Omidshafiei, BT Lopez, A Agha-Mohammadi, JP How, J Vian
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
32015
Openspiel: A framework for reinforcement learning in games
M Lanctot, E Lockhart, JB Lespiau, V Zambaldi, S Upadhyay, J Pérolat, ...
arXiv preprint arXiv:1908.09453, 2019
22019
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