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CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning
15 February 2022
Long Yang
Jiaming Ji
Juntao Dai
Yu Zhang
Pengfei Li
Gang Pan
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Papers citing
"CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning"
15 / 15 papers shown
Platform-Agnostic Reinforcement Learning Framework for Safe Exploration of Cluttered Environments with Graph Attention
Gabriele Calzolari
Vidya Sumathy
Christoforos Kanellakis
G. Nikolakopoulos
187
0
0
19 Nov 2025
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration
Gabriele Calzolari
Vidya Sumathy
Christoforos Kanellakis
G. Nikolakopoulos
1.0K
0
0
16 Apr 2025
How to Adapt Control Barrier Functions? A Learning-Based Approach with Applications to a VTOL Quadplane
IEEE Conference on Decision and Control (CDC), 2025
Taekyung Kim
Randal W. Beard
Dimitra Panagou
525
0
0
03 Apr 2025
Towards Fast Safe Online Reinforcement Learning via Policy Finetuning
Keru Chen
Honghao Wei
Zhigang Deng
Sen Lin
OffRL
OnRL
479
1
0
05 Dec 2024
Adversarial Constrained Policy Optimization: Improving Constrained Reinforcement Learning by Adapting Budgets
Jianmina Ma
Jingtian Ji
Yue Gao
208
0
0
28 Oct 2024
Autoregressive Policy Optimization for Constrained Allocation Tasks
Neural Information Processing Systems (NeurIPS), 2024
David Winkel
Niklas Strauß
Maximilian Bernhard
Zongyue Li
Thomas Seidl
Matthias Schubert
234
0
0
27 Sep 2024
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
Milan Ganai
Sicun Gao
Sylvia Herbert
427
25
0
12 Jul 2024
Optimal Transport-Assisted Risk-Sensitive Q-Learning
Zahra Shahrooei
Ali Baheri
392
3
0
17 Jun 2024
Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
Neural Information Processing Systems (NeurIPS), 2023
Jiaming Ji
Borong Zhang
Jiayi Zhou
Xuehai Pan
Weidong Huang
Ruiyang Sun
Yiran Geng
Yifan Zhong
Juntao Dai
Yaodong Yang
OffRL
455
136
0
19 Oct 2023
Iterative Reachability Estimation for Safe Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Milan Ganai
Zheng Gong
Chenning Yu
Sylvia Herbert
Sicun Gao
255
37
0
24 Sep 2023
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs
Neural Information Processing Systems (NeurIPS), 2023
Dongsheng Ding
Chen-Yu Wei
Jianchao Tan
Alejandro Ribeiro
411
31
0
20 Jun 2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
International Conference on Machine Learning (ICML), 2023
Qian Lin
Bo Tang
Zifan Wu
Chao Yu
Shangqin Mao
Qianlong Xie
Xingxing Wang
Dong Wang
OffRL
304
29
0
01 Jun 2023
Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Haotian Xu
Shengjie Wang
Zhaolei Wang
Yunzhe Zhang
Qing Zhuo
Yang Gao
Tao Zhang
182
0
0
28 Feb 2023
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
668
318
0
20 May 2022
Policy Optimization with Stochastic Mirror Descent
AAAI Conference on Artificial Intelligence (AAAI), 2019
Long Yang
Yu Zhang
Gang Zheng
Qian Zheng
Pengfei Li
Jianhang Huang
Jun Wen
Gang Pan
464
37
0
25 Jun 2019
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