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 / 51 papers shown

Title
Learning Neural Control Barrier Functions from Offline Data with Conservatism Ihab Tabbara Hussein Sibai OffRL 54 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 38 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 37 0 0 30 Apr 2025
TraCeS: Trajectory Based Credit Assignment From Sparse Safety Feedback Siow Meng Low Akshat Kumar 28 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 35 0 0 08 Apr 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 75 1 0 26 Mar 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 50 2 0 26 Mar 2025
HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents Tristan Tomilin Meng Fang Mykola Pechenizkiy 53 0 0 11 Mar 2025
Safe Explicable Policy Search Akkamahadevi Hanni Jonathan Montaño Yu Zhang 38 0 0 10 Mar 2025
Probabilistic Shielding for Safe Reinforcement Learning Edwin Hamel-De le Court Francesco Belardinelli Alex W. Goodall 35 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 22 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 78 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 29 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 79 0 0 31 Dec 2024
Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation Juntao Dai Yaodong Yang Qian Zheng Gang Pan OffRL 76 2 0 15 Dec 2024
Safe Multi-Agent Reinforcement Learning with Convergence to Generalized Nash Equilibrium Zeyang Li Navid Azizan 67 1 0 22 Nov 2024
Embedding Safety into RL: A New Take on Trust Region Methods Nikola Milosevic Johannes Müller Nico Scherf 20 1 0 05 Nov 2024
Adversarial Constrained Policy Optimization: Improving Constrained Reinforcement Learning by Adapting Budgets Jianmina Ma Jingtian Ji Yue Gao 13 0 0 28 Oct 2024
UNIQ: Offline Inverse Q-learning for Avoiding Undesirable Demonstrations Huy Hoang Tien Mai Pradeep Varakantham OffRL 17 0 0 10 Oct 2024
Constrained Reinforcement Learning for Safe Heat Pump Control Baohe Zhang Lilli Frison Thomas Brox Joschka Bödecker AI4CE 16 0 0 29 Sep 2024
Vision-driven UAV River Following: Benchmarking with Safe Reinforcement Learning Zihan Wang N. Mahmoudian 13 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 29 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 19 143 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 19 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 34 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 38 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 45 1 0 02 Jul 2024
Safety through feedback in Constrained RL Shashank Reddy Chirra Pradeep Varakantham P. Paruchuri OffRL 29 1 0 28 Jun 2024
PKU-SafeRLHF: A Safety Alignment Preference Dataset for Llama Family Models Jiaming Ji Donghai Hong Borong Zhang Boyuan Chen Josef Dai Boren Zheng Tianyi Qiu Boxun Li Yaodong Yang 32 23 0 20 Jun 2024
Constrained Meta Agnostic Reinforcement Learning Karam Daaboul Florian Kuhm Tim Joseph J. Marius Zoellner 20 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 56 1 0 30 May 2024
Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding Daniel Bethell Simos Gerasimou R. Calinescu Calum Imrie OffRL OnRL 27 0 0 28 May 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 32 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 76 35 0 06 May 2024
LTL-Constrained Policy Optimization with Cycle Experience Replay Ameesh Shah Cameron Voloshin Chenxi Yang Abhinav Verma Swarat Chaudhuri S. Seshia 24 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 19 2 0 11 Mar 2024
Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning Lunet Yifru Ali Baheri OffRL 25 1 0 24 Feb 2024
Safety Optimized Reinforcement Learning via Multi-Objective Policy Optimization Homayoun Honari Mehran Ghafarian Tamizi H. Najjaran OffRL 14 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 14 26 0 14 Nov 2023
Signal Temporal Logic-Guided Apprenticeship Learning Aniruddh Gopinath Puranic Jyotirmoy V. Deshmukh S. Nikolaidis 24 1 0 09 Nov 2023
On Generating Explanations for Reinforcement Learning Policies: An Empirical Study Mikihisa Yuasa Huy T. Tran R. Sreenivas FAtt LRM 43 1 0 29 Sep 2023
SafeDreamer: Safe Reinforcement Learning with World Models Weidong Huang Jiaming Ji Borong Zhang Chunhe Xia Yao-Chun Yang OffRL 15 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 6 374 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 12 35 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 56 23 0 16 May 2023
Games for Artificial Intelligence Research: A Review and Perspectives Chengpeng Hu Yunlong Zhao Ziqi Wang Haocheng Du Jialin Liu AI4CE 20 10 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 59 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 34 26 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 102 231 0 20 May 2022
Multi-Agent Constrained Policy Optimisation Shangding Gu J. Kuba Munning Wen Ruiqing Chen Ziyan Wang Zheng Tian Jun Wang Alois Knoll Yaodong Yang 84 49 0 06 Oct 2021