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Optimizing the CVaR via Sampling

15 April 2014

Papers citing "Optimizing the CVaR via Sampling"

35 / 85 papers shown

Title
Statistical Learning with Conditional Value at Risk Tasuku Soma Yuichi Yoshida 88 38 0 14 Feb 2020
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic Yangang Ren Jingliang Duan Shengbo Eben Li Yang Guan Qi Sun OffRL 55 30 0 13 Feb 2020
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients Brenden K. Petersen Mikel Landajuela T. Nathan Mundhenk Claudio Santiago Soo K. Kim Joanne T. Kim 68 320 0 10 Dec 2019
Measuring the Reliability of Reinforcement Learning Algorithms Stephanie C. Y. Chan Sam Fishman John F. Canny Anoop Korattikara Balan S. Guadarrama 74 84 0 10 Dec 2019
Deep Bayesian Reward Learning from Preferences Daniel S. Brown S. Niekum BDL 89 34 0 10 Dec 2019
Worst Cases Policy Gradients Yichuan Tang Jian Zhang Ruslan Salakhutdinov 56 75 0 09 Nov 2019
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy Ramtin Keramati Christoph Dann Alex Tamkin Emma Brunskill 92 75 0 05 Nov 2019
Biased Estimates of Advantages over Path Ensembles Lanxin Lei Zhizhong Li Dahua Lin OffRL 21 0 0 15 Sep 2019
Practical Risk Measures in Reinforcement Learning Dotan Di Castro J. Oren Shie Mannor 44 8 0 22 Aug 2019
Epistemic Risk-Sensitive Reinforcement Learning Hannes Eriksson Christos Dimitrakakis 124 29 0 14 Jun 2019
Learning Robust Options by Conditional Value at Risk Optimization Takuya Hiraoka Takahisa Imagawa Tatsuya Mori Takashi Onishi Yoshimasa Tsuruoka 66 27 0 22 May 2019
Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold D. Mankowitz Todd Hester OffRL 120 552 0 29 Apr 2019
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning Xiaobai Ma Katherine Driggs-Campbell Mykel J. Kochenderfer AAML 55 48 0 08 Mar 2019
Risk-Aware Active Inverse Reinforcement Learning Daniel S. Brown Yuchen Cui S. Niekum 80 59 0 08 Jan 2019
An Active Learning Framework for Efficient Robust Policy Search Sai Kiran Narayanaswami N. Sudarsanam Balaraman Ravindran 36 0 0 01 Jan 2019
Closing the gap towards end-to-end autonomous vehicle system Yonatan Glassner Liran Gispan Ariel Ayash Tal Furman Shohet 38 6 0 01 Jan 2019
Wireless Network Intelligence at the Edge Jihong Park S. Samarakoon M. Bennis Mérouane Debbah 113 521 0 07 Dec 2018
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun Basel Alomair OffRL 124 238 0 29 Oct 2018
The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning Vahid Behzadan Arslan Munir 80 27 0 23 Oct 2018
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization Bo Liu Tengyang Xie Yangyang Xu Mohammad Ghavamzadeh Yinlam Chow Daoming Lyu Daesub Yoon 81 30 0 07 Sep 2018
Risk-Sensitive Generative Adversarial Imitation Learning Jonathan Lacotte Mohammad Ghavamzadeh Yinlam Chow Marco Pavone GAN 81 24 0 13 Aug 2018
Stochastic Approximation for Risk-aware Markov Decision Processes Wenjie Huang W. Haskell 55 18 0 11 May 2018
Verification of Markov Decision Processes with Risk-Sensitive Measures Murat Cubuktepe Ufuk Topcu 49 5 0 28 Feb 2018
Unicorn: Continual Learning with a Universal, Off-policy Agent D. Mankowitz Augustin Žídek André Barreto Dan Horgan Matteo Hessel John Quan Junhyuk Oh H. V. Hasselt David Silver Tom Schaul CLL OffRL 70 48 0 22 Feb 2018
Robust Deep Reinforcement Learning with Adversarial Attacks Anay Pattanaik Zhenyi Tang Shuijing Liu Gautham Bommannan Girish Chowdhary OOD 80 308 0 11 Dec 2017
On Ensuring that Intelligent Machines Are Well-Behaved Philip S. Thomas Bruno C. da Silva A. Barto Emma Brunskill FaML 55 16 0 17 Aug 2017
Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning Daniel S. Brown S. Niekum BDL OffRL 90 42 0 03 Jul 2017
Reinforcement Learning under Model Mismatch Aurko Roy Huan Xu Sebastian Pokutta OOD 84 80 0 15 Jun 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 129 863 0 08 Mar 2017
Situational Awareness by Risk-Conscious Skills D. Mankowitz Aviv Tamar Shie Mannor 136 7 0 10 Oct 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 290 2,406 0 21 Jun 2016
Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control A. PrashanthL. Cheng Jie Michael Fu Steve Marcus Csaba Szepesvári 116 91 0 08 Jun 2015
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 141 324 0 06 Jun 2015
Policy Gradient for Coherent Risk Measures Aviv Tamar Yinlam Chow Mohammad Ghavamzadeh Shie Mannor 72 120 0 13 Feb 2015
Algorithms for CVaR Optimization in MDPs Yinlam Chow Mohammad Ghavamzadeh 112 202 0 12 Jun 2014