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Aviv Tamar
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Publications
- 2023
- [i62]Shie Mannor, Aviv Tamar:
Towards Deployable RL - What's Broken with RL Research and a Potential Fix. CoRR abs/2301.01320 (2023) - 2017
- [j4]Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor:
Sequential Decision Making With Coherent Risk. IEEE Trans. Autom. Control. 62(7): 3323-3338 (2017) - [c11]Nir Levine, Tom Zahavy, Daniel J. Mankowitz, Aviv Tamar, Shie Mannor:
Shallow Updates for Deep Reinforcement Learning. NIPS 2017: 3135-3145 - [i20]Nir Levine, Tom Zahavy, Daniel J. Mankowitz, Aviv Tamar, Shie Mannor:
Shallow Updates for Deep Reinforcement Learning. CoRR abs/1705.07461 (2017) - [i15]Daniel J. Mankowitz, Aviv Tamar, Shie Mannor:
Situationally Aware Options. CoRR abs/1711.07832 (2017) - 2016
- [j3]Aviv Tamar, Dotan Di Castro, Shie Mannor:
Learning the Variance of the Reward-To-Go. J. Mach. Learn. Res. 17: 13:1-13:36 (2016) - [c9]Assaf Hallak, Aviv Tamar, Rémi Munos, Shie Mannor:
Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis. AAAI 2016: 1631-1637 - [i12]Mohammad Ghavamzadeh, Shie Mannor, Joelle Pineau, Aviv Tamar:
Bayesian Reinforcement Learning: A Survey. CoRR abs/1609.04436 (2016) - [i10]Daniel J. Mankowitz, Aviv Tamar, Shie Mannor:
Situational Awareness by Risk-Conscious Skills. CoRR abs/1610.02847 (2016) - 2015
- [j2]Mohammad Ghavamzadeh, Shie Mannor, Joelle Pineau, Aviv Tamar:
Bayesian Reinforcement Learning: A Survey. Found. Trends Mach. Learn. 8(5-6): 359-483 (2015) - [c7]Aviv Tamar, Yonatan Glassner, Shie Mannor:
Optimizing the CVaR via Sampling. AAAI 2015: 2993-2999 - [c6]Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor:
Policy Gradient for Coherent Risk Measures. NIPS 2015: 1468-1476 - [c5]Yinlam Chow, Aviv Tamar, Shie Mannor, Marco Pavone:
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach. NIPS 2015: 1522-1530 - [i9]Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor:
Policy Gradient for Coherent Risk Measures. CoRR abs/1502.03919 (2015) - [i8]Yinlam Chow, Aviv Tamar, Shie Mannor, Marco Pavone:
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach. CoRR abs/1506.02188 (2015) - [i7]Assaf Hallak, Aviv Tamar, Shie Mannor:
Emphatic TD Bellman Operator is a Contraction. CoRR abs/1508.03411 (2015) - [i6]Assaf Hallak, Aviv Tamar, Rémi Munos, Shie Mannor:
Generalized Emphatic Temporal Difference Learning: Bias-Variance Analysis. CoRR abs/1509.05172 (2015) - 2014
- [c4]Aviv Tamar, Shie Mannor, Huan Xu:
Scaling Up Robust MDPs using Function Approximation. ICML 2014: 181-189 - [i5]Aviv Tamar, Yonatan Glassner, Shie Mannor:
Policy Gradients Beyond Expectations: Conditional Value-at-Risk. CoRR abs/1404.3862 (2014) - [i4]Aviv Tamar, Panos Toulis, Shie Mannor, Edoardo M. Airoldi:
Implicit Temporal Differences. CoRR abs/1412.6734 (2014) - 2013
- [c3]Aviv Tamar, Dotan Di Castro, Shie Mannor:
Temporal Difference Methods for the Variance of the Reward To Go. ICML (3) 2013: 495-503 - [i3]Aviv Tamar, Dotan Di Castro, Shie Mannor:
Policy Evaluation with Variance Related Risk Criteria in Markov Decision Processes. CoRR abs/1301.0104 (2013) - [i2]Aviv Tamar, Huan Xu, Shie Mannor:
Scaling Up Robust MDPs by Reinforcement Learning. CoRR abs/1306.6189 (2013) - [i1]Aviv Tamar, Shie Mannor:
Variance Adjusted Actor Critic Algorithms. CoRR abs/1310.3697 (2013) - 2012
- [c2]Dotan Di Castro, Aviv Tamar, Shie Mannor:
Policy Gradients with Variance Related Risk Criteria. ICML 2012
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