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1805.07708
Cited By
A Lyapunov-based Approach to Safe Reinforcement Learning
20 May 2018
Yinlam Chow
Ofir Nachum
Edgar A. Duénez-Guzmán
Mohammad Ghavamzadeh
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Papers citing
"A Lyapunov-based Approach to Safe Reinforcement Learning"
50 / 307 papers shown
LPPG-RL: Lexicographically Projected Policy Gradient Reinforcement Learning with Subproblem Exploration
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Provably Efficient Sample Complexity for Robust CMDP
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Actor-Free Continuous Control via Structurally Maximizable Q-Functions
Yigit Korkmaz
Urvi Bhuwania
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153
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Towards a Practical Understanding of Lagrangian Methods in Safe Reinforcement Learning
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233
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20 Oct 2025
Provably Optimal Reinforcement Learning under Safety Filtering
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203
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20 Oct 2025
Stress-Aware Learning under KL Drift via Trust-Decayed Mirror Descent
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139
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17 Oct 2025
ProSh: Probabilistic Shielding for Model-free Reinforcement Learning
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172
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17 Oct 2025
Multi-Objective
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Sumiran Mishra
197
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15 Oct 2025
A Multi-Component Reward Function with Policy Gradient for Automated Feature Selection with Dynamic Regularization and Bias Mitigation
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L.S. Paudel
148
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09 Oct 2025
A Fast Initialization Method for Neural Network Controllers: A Case Study of Image-based Visual Servoing Control for the multicopter Interception
Chenxu Ke
Congling Tian
Kaichen Xu
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Lingcong Bao
106
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23 Sep 2025
SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer
Yarden As
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Benjamin Unger
Dongho Kang
Max van der Hart
Laixi Shi
Stelian Coros
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Andreas Krause
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426
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Off Policy Lyapunov Stability in Reinforcement Learning
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Daniela Constantinescu
170
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Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality
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Ziyi Chen
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Heng Huang
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316
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116
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A Dynamical Systems Framework for Reinforcement Learning Safety and Robustness Verification
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Abdelhafid Zenati
119
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Action-Constrained Imitation Learning
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Risto Vuorio
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207
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Tail-Risk-Safe Monte Carlo Tree Search under PAC-Level Guarantees
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Tian-Shing Lan
239
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Proactive Constrained Policy Optimization with Preemptive Penalty
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Pengyu Wang
Guoqing Liu
Haifeng Zhang
Pin Lyu
Jun Wang
300
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Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems
Hijaz Ahmad
Ehsan Sabouni
Alexander Wasilkoff
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Zijian Guo
Songyuan Zhang
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360
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Accelerated Learning with Linear Temporal Logic using Differentiable Simulation
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Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees
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Arnob Ghosh
Kishan Panaganti
Adam Wierman
239
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25 May 2025
A Survey of Safe Reinforcement Learning and Constrained MDPs: A Technical Survey on Single-Agent and Multi-Agent Safety
Ankita Kushwaha
Kiran Ravish
Preeti Lamba
Pawan Kumar
234
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Georgiy Malaniya
Grigory Yaremenko
Anastasia Krasnaya
Pavel Osinenko
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273
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Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions
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561
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Timothy T. Duignan
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FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation
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Li Shen
349
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Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Samuel Tesfazgi
Leonhard Sprandl
Sandra Hirche
AAML
268
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Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2025
Luc McCutcheon
Bahman Gharesifard
Saber Fallah
299
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19 Mar 2025
Large-Scale Auto-bidding with Nash Equilibrium Constraints
Zhiyu Mou
Miao Xu
Rongquan Bai
Zhuoran Yang
Chuan Yu
Jian Xu
Bo Zheng
359
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Safe Explicable Policy Search
Akkamahadevi Hanni
Jonathan Montaño
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408
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Ensemble RL through Classifier Models: Enhancing Risk-Return Trade-offs in Trading Strategies
Zheli Xiong
336
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Polynomial-Time Approximability of Constrained Reinforcement Learning
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925
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Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
Zishun Yu
Tengyu Xu
Di Jin
Karthik Abinav Sankararaman
Yun He
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Eryk Helenowski
Chen Zhu
Sinong Wang
Hao Ma
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650
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Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves
AAAI Conference on Artificial Intelligence (AAAI), 2024
Martin Kurečka
Václav Nevyhoštěný
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Vít Unčovský
389
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18 Dec 2024
Neural Control and Certificate Repair via Runtime Monitoring
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Emily Yu
Đorđe Žikelić
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261
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Towards Fast Safe Online Reinforcement Learning via Policy Finetuning
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Honghao Wei
Zhigang Deng
Sen Lin
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489
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Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization
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Julian Berberich
Christopher Mutschler
Daniel D. Scherer
288
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Adversarial Constrained Policy Optimization: Improving Constrained Reinforcement Learning by Adapting Budgets
Jianmina Ma
Jingtian Ji
Yue Gao
214
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Knowledge Transfer from Simple to Complex: A Safe and Efficient Reinforcement Learning Framework for Autonomous Driving Decision-Making
Advanced Engineering Informatics (AEI), 2024
Rongliang Zhou
Jiakun Huang
Mingjun Li
Hepeng Li
Haotian Cao
Xiaolin Song
428
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Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switching
Xiaoshan Lin
Sadık Bera Yüksel
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Derya Aksaray
336
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Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning
Claire Chen
Shuze Liu
Shangtong Zhang
OffRL
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Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning
Conference on Robot Learning (CoRL), 2024
Jonas Günster
Puze Liu
Jan Peters
Davide Tateo
OffRL
347
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18 Sep 2024
Critic as Lyapunov function (CALF): a model-free, stability-ensuring agent
IEEE Conference on Decision and Control (CDC), 2024
Pavel Osinenko
Grigory Yaremenko
Roman Zashchitin
Anton Bolychev
Sinan Ibrahim
D. Dobriborsci
322
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Revisiting Safe Exploration in Safe Reinforcement learning
David Eckel
Baohe Zhang
Joschka Bödecker
311
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Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning
Conference on Robot Learning (CoRL), 2024
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Davide Tateo
Puze Liu
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Krzysztof Walas
256
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Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning via MetaGradient-based Hyperparameter Tuning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Homayoun Honari
Amir M. Soufi Enayati
Mehran Ghafarian Tamizi
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257
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q-exponential family for policy optimization
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561
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Jiaxin Ding
Luoyi Fu
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220
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Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning
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Marco Mussi
Matteo Papini
Alberto Maria Metelli
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Udayan Mandal
Guy Amir
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Milan Ganai
Tobey Shim
Guy Katz
Clark Barrett
285
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