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Shayegan Omidshafiei
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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
4122017
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
123*2019
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
792019
α-rank: Multi-agent evaluation by evolution
S Omidshafiei, C Papadimitriou, G Piliouras, K Tuyls, M Rowland, ...
Scientific reports 9 (1), 1-29, 2019
682019
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
632017
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
572015
A generalized training approach for multiagent learning
P Muller, S Omidshafiei, M Rowland, K Tuyls, J Perolat, S Liu, D Hennes, ...
International Conference on Learning Representations (ICLR), 2020
462020
Neural replicator dynamics: Multiagent learning via hedging policy gradients
D Hennes, D Morrill, S Omidshafiei, R Munos, J Perolat, M Lanctot, ...
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
37*2020
Real World Games Look Like Spinning Tops
WM Czarnecki, G Gidel, B Tracey, K Tuyls, S Omidshafiei, D Balduzzi, ...
Conference on Neural Information Processing Systems (NeurIPS), 2020
332020
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
322017
From Poincaré recurrence to convergence in imperfect information games: Finding equilibrium via regularization
J Perolat, R Munos, JB Lespiau, S Omidshafiei, M Rowland, P Ortega, ...
International Conference on Machine Learning, 8525-8535, 2021
312021
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
29*2015
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
272016
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
242016
Multiagent evaluation under incomplete information
M Rowland, S Omidshafiei, K Tuyls, J Perolat, M Valko, G Piliouras, ...
arXiv preprint arXiv:1909.09849, 2019
232019
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
212014
Simultaneous mapping and planning by a robot
A Aghamohammadi, SD Spindola, BF Behabadi, C Lott, S Omidshafiei, ...
US Patent 10,093,021, 2018
182018
Navigating the landscape of multiplayer games
S Omidshafiei, K Tuyls, WM Czarnecki, FC Santos, M Rowland, J Connor, ...
Nature communications 11 (1), 1-17, 2020
17*2020
From motor control to team play in simulated humanoid football
S Liu, G Lever, Z Wang, J Merel, SM Eslami, D Hennes, WM Czarnecki, ...
arXiv preprint arXiv:2105.12196, 2021
152021
Game Plan: What AI can do for Football, and What Football can do for AI
K Tuyls, S Omidshafiei, P Muller, Z Wang, J Connor, D Hennes, I Graham, ...
Journal of Artificial Intelligence Research 71, 41-88, 2021
142021
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