Poster "safe reinforcement learning" Papers
14 papers found
Conference
Adaptable Safe Policy Learning from Multi-task Data with Constraint Prioritized Decision Transformer
Ruiqi Xue, Ziqian Zhang, Lihe Li et al.
NEURIPS 2025
Alignment of Large Language Models with Constrained Learning
Botong Zhang, Shuo Li, Ignacio Hounie et al.
NEURIPS 2025arXiv:2505.19387
2
citations
Explainably Safe Reinforcement Learning
Sabine Rieder, Stefan Pranger, Debraj Chakraborty et al.
NEURIPS 2025
Fuz-RL: A Fuzzy-Guided Robust Framework for Safe Reinforcement Learning under Uncertainty
Xu Wan, Chao Yang, Cheng Yang et al.
NEURIPS 2025
HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents
Tristan Tomilin, Meng Fang, Mykola Pechenizkiy
ICLR 2025arXiv:2503.08241
5
citations
MOSDT: Self-Distillation-Based Decision Transformer for Multi-Agent Offline Safe Reinforcement Learning
Yuchen Xia, Yunjian Xu
NEURIPS 2025
Online Optimization for Offline Safe Reinforcement Learning
Yassine Chemingui, Aryan Deshwal, Alan Fern et al.
NEURIPS 2025arXiv:2510.22027
Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback
Jiaming Ji, Xinyu Chen, Rui Pan et al.
NEURIPS 2025arXiv:2503.17682
9
citations
SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound
Yunke Ao, Masoud Moghani, Mayank Mittal et al.
NEURIPS 2025arXiv:2507.01152
1
citations
Feasibility Consistent Representation Learning for Safe Reinforcement Learning
Zhepeng Cen, Yihang Yao, Zuxin Liu et al.
ICML 2024arXiv:2405.11718
3
citations
Feasible Reachable Policy Iteration
Shentao Qin, Yujie Yang, Yao Mu et al.
ICML 2024
Langevin Policy for Safe Reinforcement Learning
Fenghao Lei, Long Yang, Shiting Wen et al.
ICML 2024
SafeDreamer: Safe Reinforcement Learning with World Models
Weidong Huang, Jiaming Ji, Chunhe Xia et al.
ICLR 2024arXiv:2307.07176
37
citations
Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation
Juntao Dai, Yaodong Yang, Qian Zheng et al.
ICML 2024arXiv:2412.11138
3
citations