ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2005.00585
  4. Cited By
Improving Robustness via Risk Averse Distributional Reinforcement
  Learning

Improving Robustness via Risk Averse Distributional Reinforcement Learning

Conference on Learning for Dynamics & Control (L4DC), 2020
1 May 2020
Rahul Singh
Qinsheng Zhang
Yongxin Chen
    OOD
ArXiv (abs)PDFHTML

Papers citing "Improving Robustness via Risk Averse Distributional Reinforcement Learning"

27 / 27 papers shown
Risk-averse policies for natural gas futures trading using distributional reinforcement learning
Risk-averse policies for natural gas futures trading using distributional reinforcement learning
Félicien Hêche
Biagio Nigro
Oussama Barakat
Stephan Robert-Nicoud
OffRL
214
2
0
08 Jan 2025
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence
Minheng Xiao
Xian Yu
Lei Ying
318
1
0
23 May 2024
Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning
Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning
Xiaocong Chen
Siyu Wang
Tong Yu
Lina Yao
OffRL
228
1
0
26 Mar 2024
Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning
  under Distribution Shifts
Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts
Tobias Enders
James Harrison
Maximilian Schiffer
OOD
279
4
0
15 Feb 2024
Utility-Based Reinforcement Learning: Unifying Single-objective and
  Multi-objective Reinforcement Learning
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning
Peter Vamplew
Cameron Foale
Conor F. Hayes
Patrick Mannion
Enda Howley
...
Johan Källström
G. Ramos
Roxana Rădulescu
Willem Röpke
D. Roijers
OffRL
198
3
0
05 Feb 2024
DRL-ORA: Distributional Reinforcement Learning with Online Risk Adaption
DRL-ORA: Distributional Reinforcement Learning with Online Risk Adaption
Yupeng Wu
Wenyun Li
Wenjie Huang
Chin Pang Ho
OffRL
290
0
0
08 Oct 2023
Estimation and Inference in Distributional Reinforcement Learning
Estimation and Inference in Distributional Reinforcement Learning
Liangyu Zhang
Yang Peng
Jiadong Liang
Wenhao Yang
Zhihua Zhang
OffRL
176
4
0
29 Sep 2023
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient,
  and Sample Complexity
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample ComplexityInternational Conference on Learning Representations (ICLR), 2023
Runyu Zhang
Yang Hu
Na Li
399
13
0
20 Jun 2023
PACER: A Fully Push-forward-based Distributional Reinforcement Learning
  Algorithm
PACER: A Fully Push-forward-based Distributional Reinforcement Learning AlgorithmNeurocomputing (Neurocomputing), 2023
Wensong Bai
Chao Zhang
Yichao Fu
Lingwei Peng
Hui Qian
Bin Dai
186
1
0
11 Jun 2023
Policy Evaluation in Distributional LQR
Policy Evaluation in Distributional LQRConference on Learning for Dynamics & Control (L4DC), 2023
Zifan Wang
Yulong Gao
Si Wang
Michael M. Zavlanos
Alessandro Abate
Karl H. Johansson
OffRL
199
4
0
23 Mar 2023
Uniform Pessimistic Risk and its Optimal Portfolio
Uniform Pessimistic Risk and its Optimal Portfolio
Sungchul Hong
Jong-June Jeon
144
1
0
02 Mar 2023
Bridging Distributional and Risk-sensitive Reinforcement Learning with
  Provable Regret Bounds
Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret BoundsJournal of machine learning research (JMLR), 2022
Hao Liang
Zhihui Luo
315
18
0
25 Oct 2022
Beyond Bayes-optimality: meta-learning what you know you don't know
Beyond Bayes-optimality: meta-learning what you know you don't know
Jordi Grau-Moya
Grégoire Delétang
M. Kunesch
Tim Genewein
Elliot Catt
...
Jane X. Wang
Marcus Hutter
Christopher Summerfield
Shane Legg
Pedro A. Ortega
196
2
0
30 Sep 2022
Tailoring to the Tails: Risk Measures for Fine-Grained Tail Sensitivity
Tailoring to the Tails: Risk Measures for Fine-Grained Tail Sensitivity
Christian Frohlich
Robert C. Williamson
242
5
0
05 Aug 2022
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous
  Control
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous ControlIEEE International Joint Conference on Neural Network (IJCNN), 2022
T. Kanazawa
Haiyan Wang
Chetan Gupta
UQCV
276
7
0
27 Jul 2022
Robust Reinforcement Learning with Distributional Risk-averse
  formulation
Robust Reinforcement Learning with Distributional Risk-averse formulation
Pierre Clavier
S. Allassonnière
E. L. Pennec
OOD
188
7
0
14 Jun 2022
Applications of Reinforcement Learning in Deregulated Power Market: A Comprehensive Review
Ziqing Zhu
Ze Hu
K. Chan
S. Bu
Bin Zhou
S. Xia
OffRL
223
1
0
07 May 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of
  Reinforcement Learning
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
L. Pullum
394
6
0
22 Mar 2022
Uncertainty Estimation for Language Reward Models
Uncertainty Estimation for Language Reward Models
Adam Gleave
G. Irving
UQLM
170
36
0
14 Mar 2022
Time Discretization-Invariant Safe Action Repetition for Policy Gradient
  Methods
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods
Seohong Park
Jaekyeom Kim
Gunhee Kim
304
28
0
06 Nov 2021
ACReL: Adversarial Conditional value-at-risk Reinforcement Learning
ACReL: Adversarial Conditional value-at-risk Reinforcement Learning
Mathieu Godbout
M. Heuillet
Sharath Chandra
R. Bhati
Audrey Durand
203
2
0
20 Sep 2021
Exploring the Training Robustness of Distributional Reinforcement
  Learning against Noisy State Observations
Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State Observations
Ke Sun
Yingnan Zhao
Shangling Jui
Linglong Kong
OOD
355
20
0
17 Sep 2021
Deep Reinforcement Learning for Equal Risk Pricing and Hedging under
  Dynamic Expectile Risk Measures
Deep Reinforcement Learning for Equal Risk Pricing and Hedging under Dynamic Expectile Risk Measures
S. Marzban
Erick Delage
Jonathan Yu-Meng Li
99
4
0
09 Sep 2021
Automatic Risk Adaptation in Distributional Reinforcement Learning
Automatic Risk Adaptation in Distributional Reinforcement Learning
Frederik Schubert
Theresa Eimer
Bodo Rosenhahn
Marius Lindauer
100
9
0
11 Jun 2021
Risk-Conditioned Distributional Soft Actor-Critic for Risk-Sensitive
  Navigation
Risk-Conditioned Distributional Soft Actor-Critic for Risk-Sensitive NavigationIEEE International Conference on Robotics and Automation (ICRA), 2021
Jinyoung Choi
C. Dance
Jung-Eun Kim
Seulbin Hwang
Kyungsik Park
UQCV
178
31
0
07 Apr 2021
Risk-Averse Offline Reinforcement Learning
Risk-Averse Offline Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2021
Núria Armengol Urpí
Sebastian Curi
Andreas Krause
OffRL
196
76
0
10 Feb 2021
Adaptive Risk Sensitive Model Predictive Control with Stochastic Search
Adaptive Risk Sensitive Model Predictive Control with Stochastic Search
Ziyi Wang
Oswin So
Keuntaek Lee
Camilo A. Duarte
Evangelos A. Theodorou
215
2
0
02 Sep 2020
1