Lipschitz-Regularized Critics Lead to Policy Robustness Against Transition Dynamics Uncertainty
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Xulin, Liu, Ruipeng, Gan, Zhenyu, Katz, Garrett E. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Dynamic Quadrupedal Gaits: A Symmetry-Guided RL Hierarchy Enables Free Gait Transitions at Varying Speeds
by: Ding, Jiayu, et al.
Published: (2025)
by: Ding, Jiayu, et al.
Published: (2025)
Robust Regularized Policy Iteration under Transition Uncertainty
by: Lin, Hongqiang, et al.
Published: (2026)
by: Lin, Hongqiang, et al.
Published: (2026)
Towards Dynamic Quadrupedal Gaits: A Symmetry-Guided RL Hierarchy Enables Free Gait Transitions at Varying Speeds
by: Ding, Jiayu, et al.
Published: (2024)
by: Ding, Jiayu, et al.
Published: (2024)
MS-PPO: Morphological-Symmetry-Equivariant Policy for Legged Robot Locomotion
by: Wei, Sizhe, et al.
Published: (2025)
by: Wei, Sizhe, et al.
Published: (2025)
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
by: Fazlyab, Mahyar, et al.
Published: (2023)
by: Fazlyab, Mahyar, et al.
Published: (2023)
Improving Value Estimation Critically Enhances Vanilla Policy Gradient
by: Wang, Tao, et al.
Published: (2025)
by: Wang, Tao, et al.
Published: (2025)
Robust Behavior Cloning Via Global Lipschitz Regularization
by: Wu, Shili, et al.
Published: (2025)
by: Wu, Shili, et al.
Published: (2025)
Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization
by: Meyer, Nico, et al.
Published: (2024)
by: Meyer, Nico, et al.
Published: (2024)
Robust Adversarial Policy Optimization Under Dynamics Uncertainty
by: Kim, Mintae, et al.
Published: (2026)
by: Kim, Mintae, et al.
Published: (2026)
Robust Generative Learning with Lipschitz-Regularized $α$-Divergences Allows Minimal Assumptions on Target Distributions
by: Chen, Ziyu, et al.
Published: (2024)
by: Chen, Ziyu, et al.
Published: (2024)
Enhance DNN Adversarial Robustness and Efficiency via Injecting Noise to Non-Essential Neurons
by: Liu, Zhenyu, et al.
Published: (2024)
by: Liu, Zhenyu, et al.
Published: (2024)
On the Robustness of Adversarial Training Against Uncertainty Attacks
by: Ledda, Emanuele, et al.
Published: (2024)
by: Ledda, Emanuele, et al.
Published: (2024)
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
by: Barbara, Nicholas H., et al.
Published: (2024)
by: Barbara, Nicholas H., et al.
Published: (2024)
RegMix: Adversarial Mutual and Generalization Regularization for Enhancing DNN Robustness
by: Liu, Zhenyu, et al.
Published: (2025)
by: Liu, Zhenyu, et al.
Published: (2025)
Scaled Supervision is an Implicit Lipschitz Regularizer
by: Ouyang, Zhongyu, et al.
Published: (2025)
by: Ouyang, Zhongyu, et al.
Published: (2025)
Revisiting Mixture Policies in Entropy-Regularized Actor-Critic
by: He, Jiamin, et al.
Published: (2026)
by: He, Jiamin, et al.
Published: (2026)
Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks
by: Liu, Zhenyu, et al.
Published: (2024)
by: Liu, Zhenyu, et al.
Published: (2024)
When Maximum Entropy Misleads Policy Optimization
by: Zhang, Ruipeng, et al.
Published: (2025)
by: Zhang, Ruipeng, et al.
Published: (2025)
Tracing the Dynamics of Refusal: Exploiting Latent Refusal Trajectories for Robust Jailbreak Detection
by: Hu, Xulin, et al.
Published: (2026)
by: Hu, Xulin, et al.
Published: (2026)
Corruption-Robust Lipschitz Contextual Search
by: Zuo, Shiliang
Published: (2023)
by: Zuo, Shiliang
Published: (2023)
Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM
by: Fan, Zehao, et al.
Published: (2025)
by: Fan, Zehao, et al.
Published: (2025)
State Regularized Policy Optimization on Data with Dynamics Shift
by: Xue, Zhenghai, et al.
Published: (2023)
by: Xue, Zhenghai, et al.
Published: (2023)
REG: A Regularization Optimizer for Robust Training Dynamics
by: Liu, Zehua, et al.
Published: (2025)
by: Liu, Zehua, et al.
Published: (2025)
ADARL: Adaptive Low-Rank Structures for Robust Policy Learning under Uncertainty
by: Li, Chenliang, et al.
Published: (2025)
by: Li, Chenliang, et al.
Published: (2025)
Uncertainty Regularized Evidential Regression
by: Ye, Kai, et al.
Published: (2024)
by: Ye, Kai, et al.
Published: (2024)
Unleashing Flow Policies with Distributional Critics
by: Chen, Deshu, et al.
Published: (2025)
by: Chen, Deshu, et al.
Published: (2025)
Policy Regularized Distributionally Robust Markov Decision Processes with Linear Function Approximation
by: Gu, Jingwen, et al.
Published: (2025)
by: Gu, Jingwen, et al.
Published: (2025)
AlignTree: Efficient Defense Against LLM Jailbreak Attacks
by: Goren, Gil, et al.
Published: (2025)
by: Goren, Gil, et al.
Published: (2025)
Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Association
by: Burt, David R., et al.
Published: (2025)
by: Burt, David R., et al.
Published: (2025)
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate
by: Wu, Tao, et al.
Published: (2023)
by: Wu, Tao, et al.
Published: (2023)
Roping in Uncertainty: Robustness and Regularization in Markov Games
by: McMahan, Jeremy, et al.
Published: (2024)
by: McMahan, Jeremy, et al.
Published: (2024)
Uncertainty-Aware Graph Self-Training with Expectation-Maximization Regularization
by: Wang, Emily, et al.
Published: (2025)
by: Wang, Emily, et al.
Published: (2025)
Double Actor-Critic with TD Error-Driven Regularization in Reinforcement Learning
by: Chen, Haohui, et al.
Published: (2024)
by: Chen, Haohui, et al.
Published: (2024)
Geometric Regularity in Deterministic Sampling Dynamics of Diffusion-based Generative Models
by: Chen, Defang, et al.
Published: (2025)
by: Chen, Defang, et al.
Published: (2025)
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
by: Ji, Tianying, et al.
Published: (2024)
by: Ji, Tianying, et al.
Published: (2024)
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions
by: Khan, Zulqarnain, et al.
Published: (2022)
by: Khan, Zulqarnain, et al.
Published: (2022)
Lipschitz-aware Linearity Grafting for Certified Robustness
by: Han, Yongjin, et al.
Published: (2025)
by: Han, Yongjin, et al.
Published: (2025)
Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization
by: Wang, Ziqi, et al.
Published: (2025)
by: Wang, Ziqi, et al.
Published: (2025)
Selective Learning: Towards Robust Calibration with Dynamic Regularization
by: Han, Zongbo, et al.
Published: (2024)
by: Han, Zongbo, et al.
Published: (2024)
Score Regularized Policy Optimization through Diffusion Behavior
by: Chen, Huayu, et al.
Published: (2023)
by: Chen, Huayu, et al.
Published: (2023)
Similar Items
-
Towards Dynamic Quadrupedal Gaits: A Symmetry-Guided RL Hierarchy Enables Free Gait Transitions at Varying Speeds
by: Ding, Jiayu, et al.
Published: (2025) -
Robust Regularized Policy Iteration under Transition Uncertainty
by: Lin, Hongqiang, et al.
Published: (2026) -
Towards Dynamic Quadrupedal Gaits: A Symmetry-Guided RL Hierarchy Enables Free Gait Transitions at Varying Speeds
by: Ding, Jiayu, et al.
Published: (2024) -
MS-PPO: Morphological-Symmetry-Equivariant Policy for Legged Robot Locomotion
by: Wei, Sizhe, et al.
Published: (2025) -
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
by: Fazlyab, Mahyar, et al.
Published: (2023)