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. 2502.19652
  4. Cited By
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning

Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning

27 February 2025
Shangding Gu
Laixi Shi
Muning Wen
Ming Jin
Eric Mazumdar
Yuejie Chi
Adam Wierman
C. Spanos
    OOD
    OffRL
ArXivPDFHTML

Papers citing "Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning"

24 / 24 papers shown
Title
NavBench: A Unified Robotics Benchmark for Reinforcement Learning-Based Autonomous Navigation
NavBench: A Unified Robotics Benchmark for Reinforcement Learning-Based Autonomous Navigation
Matteo El Hariry
Antoine Richard
Ricard M. Castan
Luis F W Batista
Matthieu Geist
C´edric Pradalier
Miguel Olivares-Mendez
OffRL
67
0
0
20 May 2025
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts
Yu-Juan Luo
Tianying Ji
Gang Hua
Jianwei Zhang
Huazhe Xu
Xianyuan Zhan
OffRL
82
3
0
29 May 2024
The Generalization Gap in Offline Reinforcement Learning
The Generalization Gap in Offline Reinforcement Learning
Ishita Mediratta
Qingfei You
Minqi Jiang
Roberta Raileanu
OffRL
111
12
0
10 Dec 2023
Robust Multi-Agent Reinforcement Learning with State Uncertainty
Robust Multi-Agent Reinforcement Learning with State Uncertainty
Sihong He
Songyang Han
Sanbao Su
Shuo Han
Shaofeng Zou
Fei Miao
OOD
52
43
0
30 Jul 2023
On the Robustness of Safe Reinforcement Learning under Observational
  Perturbations
On the Robustness of Safe Reinforcement Learning under Observational Perturbations
Zuxin Liu
Zijian Guo
Zhepeng Cen
Huan Zhang
Jie Tan
Yue Liu
Ding Zhao
OOD
OffRL
72
36
0
29 May 2022
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based
  Control and Reinforcement Learning in Robotics
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning in Robotics
Zhaocong Yuan
Adam W. Hall
Siqi Zhou
Lukas Brunke
Melissa Greeff
Jacopo Panerati
Angela P. Schoellig
OffRL
124
54
0
13 Sep 2021
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale
  Demonstrations
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations
Tongzhou Mu
Z. Ling
Fanbo Xiang
Derek Yang
Xuanlin Li
Stone Tao
Zhiao Huang
Zhiwei Jia
Hao Su
73
137
0
30 Jul 2021
Continual World: A Robotic Benchmark For Continual Reinforcement
  Learning
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
OffRL
47
90
0
23 May 2021
Reinforcement Learning for Selective Key Applications in Power Systems:
  Recent Advances and Future Challenges
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges
Xin Chen
Guannan Qu
Yujie Tang
S. Low
Na Li
33
231
0
27 Jan 2021
Robust Reinforcement Learning on State Observations with Learned Optimal
  Adversary
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Huan Zhang
Hongge Chen
Duane S. Boning
Cho-Jui Hsieh
85
163
0
21 Jan 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
163
1,418
0
14 Dec 2020
CRPO: A New Approach for Safe Reinforcement Learning with Convergence
  Guarantee
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee
Tengyu Xu
Yingbin Liang
Guanghui Lan
63
123
0
11 Nov 2020
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Yuke Zhu
J. Wong
Ajay Mandlekar
Roberto Martín-Martín
Abhishek Joshi
Soroush Nasiriany
Yifeng Zhu
Soroush Nasiriany
Yifeng Zhu
154
438
0
25 Sep 2020
The NetHack Learning Environment
The NetHack Learning Environment
Heinrich Küttler
Nantas Nardelli
Alexander H. Miller
Roberta Raileanu
Marco Selvatici
Edward Grefenstette
Tim Rocktaschel
56
179
0
24 Jun 2020
dm_control: Software and Tasks for Continuous Control
dm_control: Software and Tasks for Continuous Control
Yuval Tassa
S. Tunyasuvunakool
Alistair Muldal
Yotam Doron
Piotr Trochim
...
Steven Bohez
J. Merel
Tom Erez
Timothy Lillicrap
N. Heess
LM&Ro
70
403
0
22 Jun 2020
Partial Policy Iteration for L1-Robust Markov Decision Processes
Partial Policy Iteration for L1-Robust Markov Decision Processes
C. Ho
Marek Petrik
W. Wiesemann
93
53
0
16 Jun 2020
Measuring the Reliability of Reinforcement Learning Algorithms
Measuring the Reliability of Reinforcement Learning Algorithms
Stephanie C. Y. Chan
Sam Fishman
John F. Canny
Anoop Korattikara Balan
S. Guadarrama
34
84
0
10 Dec 2019
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
431
1,664
0
18 Sep 2019
Action Robust Reinforcement Learning and Applications in Continuous
  Control
Action Robust Reinforcement Learning and Applications in Continuous Control
Chen Tessler
Yonathan Efroni
Shie Mannor
54
232
0
26 Jan 2019
Natural Environment Benchmarks for Reinforcement Learning
Natural Environment Benchmarks for Reinforcement Learning
Amy Zhang
Yuxin Wu
Joelle Pineau
OffRL
OOD
54
69
0
14 Nov 2018
How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement
  Learning Experiments
How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments
Cédric Colas
Olivier Sigaud
Pierre-Yves Oudeyer
45
90
0
21 Jun 2018
Deep Reinforcement Learning that Matters
Deep Reinforcement Learning that Matters
Peter Henderson
Riashat Islam
Philip Bachman
Joelle Pineau
Doina Precup
David Meger
OffRL
112
1,940
0
19 Sep 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
259
18,685
0
20 Jul 2017
The Arcade Learning Environment: An Evaluation Platform for General
  Agents
The Arcade Learning Environment: An Evaluation Platform for General Agents
Marc G. Bellemare
Yavar Naddaf
J. Veness
Michael Bowling
92
2,992
0
19 Jul 2012
1