AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement
Learning

AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning

AAAI Conference on Artificial Intelligence (AAAI), 2023

24 January 2023

Changliu Liu

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Papers citing "AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning"

16 / 16 papers shown

Title
SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer Yarden As Chengrui Qu Benjamin Unger Dongho Kang Max van der Hart Laixi Shi Stelian Coros Adam Wierman Andreas Krause OffRL 268 0 0 23 Sep 2025
Runtime Safety through Adaptive Shielding: From Hidden Parameter Inference to Provable Guarantees Minjae Kwon Tyler Ingebrand Ufuk Topcu Lu Feng 115 1 0 20 May 2025
Solving Multi-Agent Safe Optimal Control with Distributed Epigraph Form MARL Songyuan Zhang Oswin So Mitchell Black Zachary Serlin Chuchu Fan 156 1 0 21 Apr 2025
Realizable Continuous-Space Shields for Safe Reinforcement LearningConference on Learning for Dynamics & Control (L4DC), 2024 Kyungmin Kim Davide Corsi Andoni Rodríguez JB Lanier Benjami Parellada Pierre Baldi César Sánchez Roy Fox 173 1 0 02 Oct 2024
Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction Weiye Zhao Feihan Li Yifan Sun Yujie Wang Rui Chen Tianhao Wei Changliu Liu 171 2 0 02 Oct 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 203 0 0 08 Jul 2024
Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning Weiye Zhao Tairan He Feihan Li 196 3 0 04 May 2024
Absolute Policy Optimization Weiye Zhao Feihan Li Yifan Sun Rui Chen Tianhao Wei Changliu Liu 333 5 0 20 Oct 2023
Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint SafeguardsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Zhaorun Chen Zhuokai Zhao Tairan He Binhao Chen Xuhao Zhao Liang Gong Chengliang Liu 181 4 0 05 Oct 2023
Learn With Imagination: Safe Set Guided State-wise Constrained Policy OptimizationConference on Learning for Dynamics & Control (L4DC), 2023 Weiye Zhao Yifan Sun Fei Li Rui Chen Tianhao Wei Changliu Liu 339 7 0 25 Aug 2023
SafeDreamer: Safe Reinforcement Learning with World ModelsInternational Conference on Learning Representations (ICLR), 2023 Weidong Huang Jiaming Ji Borong Zhang Chunhe Xia Yao-Chun Yang OffRL 148 31 0 14 Jul 2023
State-wise Constrained Policy Optimization Weiye Zhao Rui Chen Yifan Sun Tianhao Wei Changliu Liu 275 12 0 21 Jun 2023
GUARD: A Safe Reinforcement Learning Benchmark Weiye Zhao Rui Chen Yifan Sun Ruixuan Liu Tianhao Wei Changliu Liu 243 18 0 23 May 2023
State-wise Safe Reinforcement Learning: A SurveyInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Weiye Zhao Tairan He Rui Chen Tianhao Wei Changliu Liu 243 80 0 06 Feb 2023
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process ModelsConference on Learning for Dynamics & Control (L4DC), 2022 Weiye Zhao Tairan He Changliu Liu 470 25 0 03 Oct 2022
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers James Ferlez Mahmoud M. Elnaggar Yasser Shoukry C. Fleming AAML 276 35 0 16 Jun 2020