Constrained Decision Transformer for Offline Safe Reinforcement Learning

Constrained Decision Transformer for Offline Safe Reinforcement Learning

14 February 2023

Wenhao Yu

Tingnan Zhang

Papers citing "Constrained Decision Transformer for Offline Safe Reinforcement Learning"

15 / 15 papers shown

Title
Learning Neural Control Barrier Functions from Offline Data with Conservatism Ihab Tabbara Hussein Sibai OffRL 54 0 0 01 May 2025
Skill Expansion and Composition in Parameter Space Tenglong Liu J. Li Yinan Zheng Haoyi Niu Yixing Lan Xin Xu Xianyuan Zhan 42 4 0 09 Feb 2025
GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments Stavros Orfanoudakis Nanda Kishor Panda Peter Palensky Pedro P. Vergara AI4CE 51 0 0 03 Feb 2025
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning Zijian Guo Weichao Zhou Wenchao Li OffRL 70 2 0 28 Jan 2025
Provably-Safe Neural Network Training Using Hybrid Zonotope Reachability Analysis Long Kiu Chung Shreyas Kousik 73 0 0 22 Jan 2025
FOSP: Fine-tuning Offline Safe Policy through World Models Chenyang Cao Yucheng Xin Silang Wu Longxiang He Zichen Yan Junbo Tan Xueqian Wang OffRL 30 0 0 06 Jul 2024
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL Qi Lv Xiang Deng Gongwei Chen Michael Yu Wang Liqiang Nie 41 6 0 08 Jun 2024
Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization Chanyeon Kim Jongwoon Park Hyun-sool Bae Woo Chang Kim 22 3 0 03 Apr 2024
Safe Offline Reinforcement Learning with Real-Time Budget Constraints Qian Lin Bo Tang Zifan Wu Chao Yu Shangqin Mao Qianlong Xie Xingxing Wang Dong Wang OffRL 13 11 0 01 Jun 2023
C-MCTS: Safe Planning with Monte Carlo Tree Search Dinesh Parthasarathy G. Kontes Axel Plinge Christopher Mutschler 16 3 0 25 May 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 52 23 0 16 May 2023
CORL: Research-oriented Deep Offline Reinforcement Learning Library Denis Tarasov Alexander Nikulin Dmitry Akimov Vladislav Kurenkov Sergey Kolesnikov OffRL 42 76 0 13 Oct 2022
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
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 99 231 0 20 May 2022
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,662 0 04 May 2020