Learning Robust Options by Conditional Value at Risk Optimization

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Learning Robust Options by Conditional Value at Risk Optimization

22 May 2019

Takahisa Imagawa

Yoshimasa Tsuruoka

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Papers citing "Learning Robust Options by Conditional Value at Risk Optimization"

17 / 17 papers shown

Title
Risk-aware black-box portfolio construction using Bayesian optimization with adaptive weighted Lagrangian estimator Zinuo You John Cartlidge Karen Elliott Menghan Ge Daniel Gold 60 0 0 18 Apr 2025
Provably Efficient CVaR RL in Low-rank MDPs Yulai Zhao Wenhao Zhan Xiaoyan Hu Ho-fung Leung Farzan Farnia Wen Sun Jason D. Lee 86 4 0 20 Nov 2023
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization Siqi Shen Chennan Ma Chao Li Weiquan Liu Yongquan Fu Songzhu Mei Xinwang Liu Cheng-Yu Wang 60 13 0 03 Nov 2023
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics Michal Nauman Marek Cygan 116 4 0 30 Oct 2023
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing Yuxin Pan Yize Chen Fangzhen Lin OffRL 82 12 0 06 Oct 2023
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm Qi Wang Yiqin Lv Yanghe Feng Zheng Xie Jincai Huang 76 9 0 01 Oct 2023
Guarantees on Robot System Performance Using Stochastic Simulation Rollouts Joseph A. Vincent Aaron O. Feldman Mac Schwager 91 6 0 19 Sep 2023
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory NS KarthikSomayaji Yu Wang M. Schram Ján Drgoňa M. Halappanavar Frank Liu Peng Li 89 2 0 24 Aug 2023
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient Yudong Luo Guiliang Liu Pascal Poupart Yangchen Pan 105 10 0 17 Jul 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning Ido Greenberg Shie Mannor Gal Chechik E. Meirom OffRL OOD 91 9 0 26 Jan 2023
Risk-Sensitive Policy with Distributional Reinforcement Learning Thibaut Théate D. Ernst OffRL 131 7 0 30 Dec 2022
Efficient Risk-Averse Reinforcement Learning Ido Greenberg Yinlam Chow Mohammad Ghavamzadeh Shie Mannor 89 42 0 10 May 2022
Risk-Aware Transfer in Reinforcement Learning using Successor Features Michael Gimelfarb André Barreto Scott Sanner Chi-Guhn Lee 46 15 0 28 May 2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents Wei Qiu Xinrun Wang Runsheng Yu Xu He Rongpin Wang Bo An S. Obraztsova Zinovi Rabinovich 82 51 0 16 Feb 2021
Soft-Robust Algorithms for Batch Reinforcement Learning Elita Lobo Mohammad Ghavamzadeh Marek Petrik OffRL 114 4 0 30 Nov 2020
Meta-Model-Based Meta-Policy Optimization Takuya Hiraoka Takahisa Imagawa Voot Tangkaratt Takayuki Osa Takashi Onishi Yoshimasa Tsuruoka OffRL 91 8 0 04 Jun 2020
An Active Learning Framework for Efficient Robust Policy Search Sai Kiran Narayanaswami N. Sudarsanam Balaraman Ravindran 36 0 0 01 Jan 2019