Aviv Tamar
Title
Cited by
Cited by
Year
Multi-agent actor-critic for mixed cooperative-competitive environments
R Lowe, YI Wu, A Tamar, J Harb, OAIP Abbeel, I Mordatch
Advances in neural information processing systems, 6379-6390, 2017
9452017
Value iteration networks
A Tamar, Y Wu, G Thomas, S Levine, P Abbeel
Advances in Neural Information Processing Systems, 2154-2162, 2016
3992016
Constrained policy optimization
J Achiam, D Held, A Tamar, P Abbeel
arXiv preprint arXiv:1705.10528, 2017
3022017
Bayesian reinforcement learning: A survey
M Ghavamzadeh, S Mannor, J Pineau, A Tamar
arXiv preprint arXiv:1609.04436, 2016
2112016
Model-ensemble trust-region policy optimization
T Kurutach, I Clavera, Y Duan, A Tamar, P Abbeel
arXiv preprint arXiv:1802.10592, 2018
1592018
Risk-sensitive and robust decision-making: a cvar optimization approach
Y Chow, A Tamar, S Mannor, M Pavone
Advances in Neural Information Processing Systems, 1522-1530, 2015
1152015
Policy gradients with variance related risk criteria
D Di Castro, A Tamar, S Mannor
arXiv preprint arXiv:1206.6404, 2012
992012
Policy gradients with variance related risk criteria
D Di Castro, A Tamar, S Mannor
arXiv preprint arXiv:1206.6404, 2012
992012
Learning plannable representations with causal infogan
T Kurutach, A Tamar, G Yang, SJ Russell, P Abbeel
Advances in Neural Information Processing Systems, 8733-8744, 2018
742018
Optimizing the CVaR via sampling
A Tamar, Y Glassner, S Mannor
arXiv preprint arXiv:1404.3862, 2014
742014
Learning to route
A Valadarsky, M Schapira, D Shahaf, A Tamar
Proceedings of the 16th ACM workshop on hot topics in networks, 185-191, 2017
662017
Learning robotic assembly from cad
G Thomas, M Chien, A Tamar, JA Ojea, P Abbeel
2018 IEEE International Conference on Robotics and Automation (ICRA), 1-9, 2018
632018
A deep reinforcement learning perspective on internet congestion control
N Jay, N Rotman, B Godfrey, M Schapira, A Tamar
International Conference on Machine Learning, 3050-3059, 2019
542019
Scaling up robust MDPs using function approximation
A Tamar, S Mannor, H Xu
International Conference on Machine Learning, 181-189, 2014
502014
Learning generalized reactive policies using deep neural networks
E Groshev, M Goldstein, A Tamar, S Srivastava, P Abbeel
arXiv preprint arXiv:1708.07280, 2017
402017
Policy gradient for coherent risk measures
A Tamar, Y Chow, M Ghavamzadeh, S Mannor
Advances in Neural Information Processing Systems, 1468-1476, 2015
352015
Reinforcement learning on variable impedance controller for high-precision robotic assembly
J Luo, E Solowjow, C Wen, JA Ojea, AM Agogino, A Tamar, P Abbeel
2019 International Conference on Robotics and Automation (ICRA), 3080-3087, 2019
342019
Learning from the hindsight plan—episodic mpc improvement
A Tamar, G Thomas, T Zhang, S Levine, P Abbeel
2017 IEEE International Conference on Robotics and Automation (ICRA), 336-343, 2017
342017
Temporal difference methods for the variance of the reward to go
A Tamar, D Di Castro, S Mannor
International Conference on Machine Learning, 495-503, 2013
322013
Generalized emphatic temporal difference learning: Bias-variance analysis
A Hallak, A Tamar, R Munos, S Mannor
arXiv preprint arXiv:1509.05172, 2015
312015
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