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HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents

International Conference on Learning Representations (ICLR), 2025
11 March 2025
Tristan Tomilin
Meng Fang
Mykola Pechenizkiy
ArXiv (abs)PDFHTML

Papers citing "HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents"

4 / 4 papers shown
Title
An Empirical Study of Lagrangian Methods in Safe Reinforcement Learning
An Empirical Study of Lagrangian Methods in Safe Reinforcement Learning
Lindsay Spoor
Álvaro Serra-Gómez
Aske Plaat
Thomas M. Moerland
92
0
0
20 Oct 2025
ATLaS: Agent Tuning via Learning Critical StepsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Zhixun Chen
Ming Li
Yuanmin Huang
Yali Du
Meng Fang
Wanrong Zhu
472
13
0
04 Mar 2025
Diffusion Models Are Real-Time Game Engines
Diffusion Models Are Real-Time Game EnginesInternational Conference on Learning Representations (ICLR), 2024
Dani Valevski
Yaniv Leviathan
Moab Arar
Shlomi Fruchter
DiffMVGenAI4CE
413
145
0
27 Aug 2024
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
433
545
0
25 Sep 2020
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