Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

19 October 2023

Jiaming Ji

Juntao Dai

Papers citing "Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark"

50 / 52 papers shown

Title
Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL Zhikun Tao Gang Xiong He Fang Zhen Shen Yunjun Han Qing-Shan Jia OffRL 29 0 0 13 May 2025
Learning Neural Control Barrier Functions from Offline Data with Conservatism Ihab Tabbara Hussein Sibai OffRL 65 0 0 01 May 2025
Designing Control Barrier Function via Probabilistic Enumeration for Safe Reinforcement Learning Navigation Luca Marzari Francesco Trotti Enrico Marchesini Alessandro Farinelli 43 0 0 30 Apr 2025
Neuro-Symbolic Generation of Explanations for Robot Policies with Weighted Signal Temporal Logic Mikihisa Yuasa R. Sreenivas Huy T. Tran 40 0 0 30 Apr 2025
TraCeS: Trajectory Based Credit Assignment From Sparse Safety Feedback Siow Meng Low Akshat Kumar 45 0 0 17 Apr 2025
A Multimedia Analytics Model for the Foundation Model Era M. Worring Jan Zahálka Stef van den Elzen M. T. Fischer Daniel A. Keim VGen HAI 37 0 0 08 Apr 2025
Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks Zongyuan Zhang Tianyang Duan Zheng Lin Dong Huang Zihan Fang ... Ling Xiong Hongbin Liang Heming Cui Yong Cui Yue Gao AAML 53 2 0 26 Mar 2025
State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning Zongyuan Zhang Tianyang Duan Zheng Lin Dong Huang Zihan Fang Zekai Sun Ling Xiong Hongbin Liang Heming Cui Yong Cui AAML 82 1 0 26 Mar 2025
HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents Tristan Tomilin Meng Fang Mykola Pechenizkiy 55 0 0 11 Mar 2025
Safe Explicable Policy Search Akkamahadevi Hanni Jonathan Montaño Yu Zhang 53 0 0 10 Mar 2025
Probabilistic Shielding for Safe Reinforcement Learning Edwin Hamel-De le Court Francesco Belardinelli Alex W. Goodall 41 0 0 09 Mar 2025
A2Perf: Real-World Autonomous Agents Benchmark Ikechukwu Uchendu Jason J. Jabbour Korneel Van den Berghe Joel Runevic Matthew P. Stewart ... S. Guadarrama Jie Tan Jordan K. Terry Aleksandra Faust Vijay Janapa Reddi 34 0 0 04 Mar 2025
From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning Pusen Dong Tianchen Zhu Yue Qiu Haoyi Zhou Jianxin Li 80 1 0 24 Feb 2025
On the Design of Safe Continual RL Methods for Control of Nonlinear Systems Austin Coursey Marcos Quiñones-Grueiro Gautam Biswas 36 0 0 21 Feb 2025
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy Keru Chen Honghao Wei Zhigang Deng Sen Lin OffRL OnRL 91 0 0 31 Dec 2024
Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation Juntao Dai Yaodong Yang Qian Zheng Gang Pan OffRL 84 2 0 15 Dec 2024
Safe Multi-Agent Reinforcement Learning with Convergence to Generalized Nash Equilibrium Zeyang Li Navid Azizan 80 1 0 22 Nov 2024
Embedding Safety into RL: A New Take on Trust Region Methods Nikola Milosevic Johannes Müller Nico Scherf 25 1 0 05 Nov 2024
Adversarial Constrained Policy Optimization: Improving Constrained Reinforcement Learning by Adapting Budgets Jianmina Ma Jingtian Ji Yue Gao 23 0 0 28 Oct 2024
UNIQ: Offline Inverse Q-learning for Avoiding Undesirable Demonstrations Huy Hoang Tien Mai Pradeep Varakantham OffRL 27 0 0 10 Oct 2024
Constrained Reinforcement Learning for Safe Heat Pump Control Baohe Zhang Lilli Frison Thomas Brox Joschka Bödecker AI4CE 21 0 0 29 Sep 2024
Vision-driven UAV River Following: Benchmarking with Safe Reinforcement Learning Zihan Wang N. Mahmoudian 23 2 0 13 Sep 2024
Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning via MetaGradient-based Hyperparameter Tuning Homayoun Honari Amir M. Soufi Enayati Mehran Ghafarian Tamizi H. Najjaran 50 1 0 15 Aug 2024
Gymnasium: A Standard Interface for Reinforcement Learning Environments Mark Towers Ariel Kwiatkowski Jordan Terry John U. Balis Gianluca De Cola ... Andrea Pierré Sander Schulhoff Jun Jet Tai Hannah Tan Omar G. Younis AuLLM OffRL 19 155 0 24 Jul 2024
$$\mathrm{E^{2}CFD}$: Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model$ $\mathrm{E^{2}CFD}$ : Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model Zepeng Wang Chao Ma Linjiang Zhou Libing Wu Lei Yang Xiaochuan Shi Guojun Peng OffRL 35 0 0 08 Jul 2024
FOSP: Fine-tuning Offline Safe Policy through World Models Chenyang Cao Yucheng Xin Silang Wu Longxiang He Zichen Yan Junbo Tan Xueqian Wang OffRL 58 0 0 06 Jul 2024
RobocupGym: A challenging continuous control benchmark in Robocup Michael Beukman Branden Ingram Geraud Nangue Tasse Benjamin Rosman Pravesh Ranchod OffRL 43 1 0 03 Jul 2024
Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach Ammar N. Abbas Shakra Mehak Georgios C. Chasparis John D. Kelleher Michael Guilfoyle M. Leva Aswin K Ramasubramanian 56 1 0 02 Jul 2024
Safety through feedback in Constrained RL Shashank Reddy Chirra Pradeep Varakantham P. Paruchuri OffRL 45 1 0 28 Jun 2024
PKU-SafeRLHF: A Safety Alignment Preference Dataset for Llama Family Models Yalan Qin Chongye Guo Borong Zhang Boyuan Chen Josef Dai Boren Zheng Tianyi Qiu Boxun Li Yaodong Yang 45 25 0 20 Jun 2024
Constrained Meta Agnostic Reinforcement Learning Karam Daaboul Florian Kuhm Tim Joseph J. Marius Zoellner 33 0 0 20 Jun 2024
Safe Multi-agent Reinforcement Learning with Natural Language Constraints Ziyan Wang Meng Fang Tristan Tomilin Fei Fang Yali Du LLMAG 64 7 0 30 May 2024
Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding Daniel Bethell Simos Gerasimou R. Calinescu Calum Imrie OffRL OnRL 33 0 0 28 May 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 40 3 0 20 May 2024
Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond Zheng Zhu Xiaofeng Wang Wangbo Zhao Chen Min Nianchen Deng ... Dawei Zhao Liang Xiao Jian-jun Zhao Jiwen Lu Guan Huang VGen LM&Ro 84 37 0 06 May 2024
LTL-Constrained Policy Optimization with Cycle Experience Replay Ameesh Shah Cameron Voloshin Chenxi Yang Abhinav Verma Swarat Chaudhuri S. Seshia 29 1 0 17 Apr 2024
DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning Xuefeng Wang Henglin Pu Hyung Jun Kim Husheng Li 29 2 0 11 Mar 2024
Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning Lunet Yifru Ali Baheri OffRL 38 1 0 24 Feb 2024
Safety Optimized Reinforcement Learning via Multi-Objective Policy Optimization Homayoun Honari Mehran Ghafarian Tamizi H. Najjaran OffRL 22 1 0 23 Feb 2024
SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language Models Bertie Vidgen Nino Scherrer Hannah Rose Kirk Rebecca Qian Anand Kannappan Scott A. Hale Paul Röttger ALM ELM 27 27 0 14 Nov 2023
Signal Temporal Logic-Guided Apprenticeship Learning Aniruddh Gopinath Puranic Jyotirmoy V. Deshmukh Stefanos Nikolaidis 38 1 0 09 Nov 2023
On Generating Explanations for Reinforcement Learning Policies: An Empirical Study Mikihisa Yuasa Huy T. Tran R. Sreenivas FAtt LRM 48 1 0 29 Sep 2023
SafeDreamer: Safe Reinforcement Learning with World Models Weidong Huang Jiaming Ji Borong Zhang Chunhe Xia Yao-Chun Yang OffRL 30 19 0 14 Jul 2023
BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset Jiaming Ji Mickel Liu Juntao Dai Xuehai Pan Chi Zhang Ce Bian Chi Zhang Ruiyang Sun Yizhou Wang Yaodong Yang ALM 16 400 0 10 Jul 2023
Datasets and Benchmarks for Offline Safe Reinforcement Learning Zuxin Liu Zijian Guo Haohong Lin Yi-Fan Yao Jiacheng Zhu ... Hanjiang Hu Wenhao Yu Tingnan Zhang Jie Tan Ding Zhao OffRL 22 36 0 15 Jun 2023
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research Jiaming Ji Jiayi Zhou Borong Zhang Juntao Dai Xuehai Pan Ruiyang Sun Weidong Huang Yiran Geng Mickel Liu Yaodong Yang OffRL 72 47 0 16 May 2023
Games for Artificial Intelligence Research: A Review and Perspectives Chengpeng Hu Yunlong Zhao Ziqi Wang Haocheng Du Jialin Liu AI4CE 35 13 0 26 Apr 2023
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 74 45 0 16 Sep 2022
Constrained Update Projection Approach to Safe Policy Optimization Long Yang Jiaming Ji Juntao Dai Linrui Zhang Binbin Zhou Pengfei Li Yaodong Yang Gang Pan 38 42 0 15 Sep 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 115 237 0 20 May 2022