ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.06063
  4. Cited By
Robust Reinforcement Learning via Adversarial training with Langevin
  Dynamics

Robust Reinforcement Learning via Adversarial training with Langevin Dynamics

14 February 2020
Parameswaran Kamalaruban
Yu-ting Huang
Ya-Ping Hsieh
Paul Rolland
C. Shi
V. Cevher
ArXivPDFHTML

Papers citing "Robust Reinforcement Learning via Adversarial training with Langevin Dynamics"

13 / 13 papers shown
Title
Provable Robustness for Streaming Models with a Sliding Window
Provable Robustness for Streaming Models with a Sliding Window
Aounon Kumar
Vinu Sankar Sadasivan
S. Feizi
OOD
AAML
AI4TS
11
1
0
28 Mar 2023
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness
  to Model Misspecification
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification
Takumi Tanabe
Reimi Sato
Kazuto Fukuchi
Jun Sakuma
Youhei Akimoto
OffRL
19
8
0
07 Nov 2022
Robust Reinforcement Learning in Continuous Control Tasks with
  Uncertainty Set Regularization
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization
Yuan Zhang
Jianhong Wang
Joschka Boedecker
34
3
0
05 Jul 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
11
2
0
22 Mar 2022
Robust Reinforcement Learning as a Stackelberg Game via
  Adaptively-Regularized Adversarial Training
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training
Peide Huang
Mengdi Xu
Fei Fang
Ding Zhao
77
37
0
19 Feb 2022
User-Oriented Robust Reinforcement Learning
User-Oriented Robust Reinforcement Learning
Haoyi You
Beichen Yu
Haiming Jin
Zhaoxing Yang
Jiahui Sun
OffRL
26
0
0
15 Feb 2022
Learning a Robust Multiagent Driving Policy for Traffic Congestion
  Reduction
Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction
Yulin Zhang
William Macke
Jiaxun Cui
Daniel Urieli
Peter Stone
11
8
0
03 Dec 2021
Robust Predictable Control
Robust Predictable Control
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
21
44
0
07 Sep 2021
Policy Smoothing for Provably Robust Reinforcement Learning
Policy Smoothing for Provably Robust Reinforcement Learning
Aounon Kumar
Alexander Levine
S. Feizi
AAML
15
54
0
21 Jun 2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based
  Deep Reinforcement Learning
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning
Sebastian Curi
Ilija Bogunovic
Andreas Krause
24
17
0
18 Mar 2021
Maximum Entropy RL (Provably) Solves Some Robust RL Problems
Maximum Entropy RL (Provably) Solves Some Robust RL Problems
Benjamin Eysenbach
Sergey Levine
OOD
24
174
0
10 Mar 2021
Robust Reinforcement Learning using Adversarial Populations
Robust Reinforcement Learning using Adversarial Populations
Eugene Vinitsky
Yuqing Du
Kanaad Parvate
Kathy Jang
Pieter Abbeel
Alexandre M. Bayen
AAML
35
79
0
04 Aug 2020
The limits of min-max optimization algorithms: convergence to spurious
  non-critical sets
The limits of min-max optimization algorithms: convergence to spurious non-critical sets
Ya-Ping Hsieh
P. Mertikopoulos
V. Cevher
27
81
0
16 Jun 2020
1