Policy Gradients for CVaR-Constrained MDPs

12 May 2014

Papers citing "Policy Gradients for CVaR-Constrained MDPs"

25 / 25 papers shown

Title
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning Dake Zhang Boxiang Lyu Delin Qu Mladen Kolar Tong Zhang OffRL 146 1 0 10 Jul 2024
Forward-PECVaR Algorithm: Exact Evaluation for CVaR SSPsAdaptive Agents and Multi-Agent Systems (AAMAS), 2023 Willy Arthur Silva Reis D. B. Pais Valdinei Freire K. V. Delgado 84 0 0 01 Mar 2023
Risk-Sensitive Reinforcement Learning with Exponential CriteriaIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2022 Erfaun Noorani Christos N. Mavridis John S. Baras 248 12 0 18 Dec 2022
A policy gradient approach for optimization of smooth risk measuresConference on Uncertainty in Artificial Intelligence (UAI), 2022 Nithia Vijayan Prashanth L.A. OffRL 163 3 0 22 Feb 2022
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human InterventionConference on Robot Learning (CoRL), 2021 Yunkun Xu Zhen-yu Liu Guifang Duan Jiangcheng Zhu X. Bai Jianrong Tan 140 11 0 10 Nov 2021
Planning for Risk-Aversion and Expected Value in MDPsInternational Conference on Automated Planning and Scheduling (ICAPS), 2021 Marc Rigter Paul Duckworth Bo Li Shouhong Ding 142 11 0 25 Oct 2021
Risk-Averse Decision Making Under UncertaintyIEEE Transactions on Automatic Control (IEEE TAC), 2021 M. Ahmadi Ugo Rosolia M. Ingham R. Murray Aaron D. Ames 127 7 0 09 Sep 2021
Policy Gradient Methods for Distortion Risk Measures Nithia Vijayan Prashanth L.A. 236 6 0 09 Jul 2021
Learning to Act Safely with Limited Exposure and Almost Sure CertaintyIEEE Transactions on Automatic Control (IEEE TAC), 2021 Agustin Castellano Hancheng Min J. Bazerque Enrique Mallada 124 4 0 18 May 2021
Risk-Averse Stochastic Shortest Path PlanningIEEE Conference on Decision and Control (CDC), 2021 M. Ahmadi Anushri Dixit J. W. Burdick Aaron D. Ames 132 15 0 26 Mar 2021
Risk-Averse Bayes-Adaptive Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2021 Marc Rigter Bruno Lacerda Nick Hawes 130 44 0 10 Feb 2021
Constrained Risk-Averse Markov Decision ProcessesAAAI Conference on Artificial Intelligence (AAAI), 2020 M. Ahmadi Ugo Rosolia M. Ingham R. Murray Aaron D. Ames 263 30 0 04 Dec 2020
Soft-Robust Algorithms for Batch Reinforcement Learning Elita Lobo Mohammad Ghavamzadeh Marek Petrik OffRL 184 4 0 30 Nov 2020
Risk-Sensitive Motion Planning using Entropic Value-at-RiskEuropean Control Conference (ECC), 2020 Anushri Dixit M. Ahmadi J. W. Burdick 180 29 0 23 Nov 2020
Risk-Averse Planning via CVaR Barrier Functions: Application to Bipedal Robot Locomotion M. Ahmadi Xiaobin Xiong Aaron D. Ames 127 10 0 03 Nov 2020
SAMBA: Safe Model-Based & Active Reinforcement LearningMachine-mediated learning (ML), 2020 Alexander I. Cowen-Rivers Daniel Palenicek Vincent Moens Mohammed Abdullah Aivar Sootla Jun Wang Haitham Bou-Ammar 103 46 0 12 Jun 2020
Cautious Reinforcement Learning via Distributional Risk in the Dual DomainIEEE Journal on Selected Areas in Information Theory (JSAIT), 2020 Junyu Zhang Amrit Singh Bedi Mengdi Wang Alec Koppel 106 28 0 27 Feb 2020
Risk-Averse Planning Under UncertaintyAmerican Control Conference (ACC), 2019 M. Ahmadi M. Ono M. Ingham R. Murray Aaron D. Ames 192 28 0 27 Sep 2019
Biased Estimates of Advantages over Path Ensembles Lanxin Lei Zhizhong Li Dahua Lin OffRL 70 0 0 15 Sep 2019
Entropic Risk Measure in Policy SearchIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019 David Nass Boris Belousov Jan Peters 195 32 0 21 Jun 2019
Reward Constrained Policy Optimization Chen Tessler D. Mankowitz Shie Mannor 278 586 0 28 May 2018
Stochastic Approximation for Risk-aware Markov Decision Processes Wenjie Huang W. Haskell 113 18 0 11 May 2018
Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and ControlInternational Conference on Machine Learning (ICML), 2015 A. PrashanthL. Cheng Jie Michael Fu Steve Marcus Csaba Szepesvári 172 93 0 08 Jun 2015
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization ApproachNeural Information Processing Systems (NeurIPS), 2015 Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 199 348 0 06 Jun 2015
Optimizing the CVaR via SamplingAAAI Conference on Artificial Intelligence (AAAI), 2014 Aviv Tamar Yonatan Glassner Shie Mannor 250 196 0 15 Apr 2014