Rasul Tutunov
Cited by
Cited by
Safe policy search for lifelong reinforcement learning with sublinear regret
HB Ammar, R Tutunov, E Eaton
International Conference on Machine Learning, 2361-2369, 2015
Distributed Newton method for large-scale consensus optimization
R Tutunov, H Bou-Ammar, A Jadbabaie
IEEE Transactions on Automatic Control 64 (10), 3983-3994, 2019
MANAS: Multi-agent neural architecture search
FM Carlucci, PM Esperança, M Singh, V Gabillon, A Yang, H Xu, Z Chen, ...
arXiv preprint arXiv:1909.01051, 2019
A fast distributed solver for symmetric diagonally dominant linear equations
R Tutunov, HB Ammar, A Jadbabaie
arXiv preprint arXiv:1502.03158, 2015
An exact distributed newton method for reinforcement learning
R Tutunov, HB Ammar, A Jadbabaie
2016 IEEE 55th Conference on Decision and Control (CDC), 1003-1008, 2016
Distributed multitask reinforcement learning with quadratic convergence
R Tutunov, D Kim, H Bou Ammar
Advances in Neural Information Processing Systems 31, 8907-8916, 2018
-Rank: Scalable Multi-agent Evaluation through Evolution
Y Yang, R Tutunov, P Sakulwongtana, HB Ammar, J Wang
Distributed lifelong reinforcement learning with sub-linear regret
R Tutunov, J El-Zini, H Bou-Ammar, A Jadbabaie
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2254-2259, 2017
Distributed SDDM solvers: Theory & applications
R Tutunov, H Bou-Ammar, A Jadbabaie
arXiv preprint arXiv:1508.04096, 2015
Derivative-Free & Order-Robust Optimisation
V Gabillon, R Tutunov, M Valko, HB Ammar
arXiv preprint arXiv:1910.04034, 2019
-Rank: Practically Scaling -Rank through Stochastic Optimisation
Y Yang, R Tutunov, P Sakulwongtana, HB Ammar
arXiv preprint arXiv:1909.11628, 2019
On convergence rate of accelerated dual descent algorithm
R Tutunov, M Zargham, A Jadbabaie
53rd IEEE Conference on Decision and Control, 179-184, 2014
Identifiability of links and nodes in multi-agent systems under the agreement protocol
MA Rahimian, A Ajorlou, R Tutunov, AG Aghdam
2013 American Control Conference, 6853-6858, 2013
An Empirical Study of Assumptions in Bayesian Optimisation
AI Cowen-Rivers, W Lyu, R Tutunov, Z Wang, A Grosnit, RR Griffiths, ...
arXiv preprint arXiv:2012.03826, 2020
Compositional Adam: An adaptive compositional solver
R Tutunov, M Li, AI Cowen-Rivers, J Wang, H Bou-Ammar
arXiv preprint arXiv:2002.03755, 2020
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation?
A Grosnit, AI Cowen-Rivers, R Tutunov, RR Griffiths, J Wang, ...
arXiv preprint arXiv:2012.08240, 2020
Graph attention memory for visual navigation
D Li, Q Zhang, D Zhao, Y Zhuang, B Wang, W Liu, R Tutunov, J Wang
arXiv preprint arXiv:1905.13315, 2019
Fully distributed and mixed symmetric diagonal dominant solvers for large scale optimization
R Tutunov
On the Degree Distribution of P\'{o} lya Urn Graph Processes
R Tutunov, HB Ammar, A Jadbabaie, E Eaton
arXiv preprint arXiv:1410.8515, 2014
Efficient Semi-Implicit Variational Inference
V Moens, H Ren, A Maraval, R Tutunov, J Wang, H Ammar
arXiv preprint arXiv:2101.06070, 2021
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