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
7822017
Value iteration networks
A Tamar, Y Wu, G Thomas, S Levine, P Abbeel
Advances in Neural Information Processing Systems, 2154-2162, 2016
3602016
Constrained policy optimization
J Achiam, D Held, A Tamar, P Abbeel
arXiv preprint arXiv:1705.10528, 2017
2482017
Bayesian reinforcement learning: A survey
M Ghavamzadeh, S Mannor, J Pineau, A Tamar
arXiv preprint arXiv:1609.04436, 2016
1962016
Model-ensemble trust-region policy optimization
T Kurutach, I Clavera, Y Duan, A Tamar, P Abbeel
arXiv preprint arXiv:1802.10592, 2018
1322018
Policy gradients with variance related risk criteria
D Di Castro, A Tamar, S Mannor
arXiv preprint arXiv:1206.6404, 2012
942012
Policy gradients with variance related risk criteria
D Di Castro, A Tamar, S Mannor
arXiv preprint arXiv:1206.6404, 2012
942012
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
912015
Optimizing the CVaR via sampling
A Tamar, Y Glassner, S Mannor
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
662015
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
552018
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
542017
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
472018
Scaling up robust MDPs using function approximation
A Tamar, S Mannor, H Xu
International Conference on Machine Learning, 181-189, 2014
432014
Learning generalized reactive policies using deep neural networks
E Groshev, A Tamar, M Goldstein, S Srivastava, P Abbeel
2018 AAAI Spring Symposium Series, 2018
362018
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
342019
Policy gradient for coherent risk measures
A Tamar, Y Chow, M Ghavamzadeh, S Mannor
Advances in Neural Information Processing Systems, 1468-1476, 2015
302015
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
302013
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
282017
Generalized emphatic temporal difference learning: Bias-variance analysis
A Hallak, A Tamar, R Munos, S Mannor
Thirtieth AAAI Conference on Artificial Intelligence, 2016
282016
Shallow updates for deep reinforcement learning
N Levine, T Zahavy, DJ Mankowitz, A Tamar, S Mannor
Advances in Neural Information Processing Systems, 3135-3145, 2017
272017
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