UACER: An Uncertainty-Adaptive Critic Ensemble Framework for Robust Adversarial Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Jiaxi, Zhang, Tiantian, Wang, Yuxing, Chang, Yongzhe, Wang, Xueqian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Wavelet Fourier Diffuser: Frequency-Aware Diffusion Model for Reinforcement Learning
by: Luo, Yifu, et al.
Published: (2025)
by: Luo, Yifu, et al.
Published: (2025)
DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays
by: Xia, Bo, et al.
Published: (2024)
by: Xia, Bo, et al.
Published: (2024)
Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space
by: Liu, Qianmei, et al.
Published: (2024)
by: Liu, Qianmei, et al.
Published: (2024)
A Method on Searching Better Activation Functions
by: Sun, Haoyuan, et al.
Published: (2024)
by: Sun, Haoyuan, et al.
Published: (2024)
A Dual-Agent Adversarial Framework for Robust Generalization in Deep Reinforcement Learning
by: Xie, Zhengpeng, et al.
Published: (2025)
by: Xie, Zhengpeng, et al.
Published: (2025)
DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty
by: Cui, Mingxuan, et al.
Published: (2025)
by: Cui, Mingxuan, et al.
Published: (2025)
Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
by: Cao, Chenyang, et al.
Published: (2024)
by: Cao, Chenyang, et al.
Published: (2024)
Dynamic Adversarial Reinforcement Learning for Robust Multimodal Large Language Models
by: Bao, Yicheng, et al.
Published: (2026)
by: Bao, Yicheng, et al.
Published: (2026)
Adversarial Diffusion for Robust Reinforcement Learning
by: Foffano, Daniele, et al.
Published: (2025)
by: Foffano, Daniele, et al.
Published: (2025)
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach
by: Fan, Junchao, et al.
Published: (2025)
by: Fan, Junchao, et al.
Published: (2025)
TranDRL: A Transformer-Driven Deep Reinforcement Learning Enabled Prescriptive Maintenance Framework
by: Zhao, Yang, et al.
Published: (2023)
by: Zhao, Yang, et al.
Published: (2023)
Sparse Threats, Focused Defense: Criticality-Aware Robust Reinforcement Learning for Safe Autonomous Driving
by: Wei, Qi, et al.
Published: (2026)
by: Wei, Qi, et al.
Published: (2026)
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions
by: Yang, Rui, et al.
Published: (2024)
by: Yang, Rui, et al.
Published: (2024)
CEAR: Certified Ensemble Adversarial Robustness in DNNs
by: Sadig, Daniel, et al.
Published: (2026)
by: Sadig, Daniel, et al.
Published: (2026)
RLAC: Reinforcement Learning with Adversarial Critic for Free-Form Generation Tasks
by: Wu, Mian, et al.
Published: (2025)
by: Wu, Mian, et al.
Published: (2025)
Advancing Robustness in Deep Reinforcement Learning with an Ensemble Defense Approach
by: Mohan, Adithya, et al.
Published: (2025)
by: Mohan, Adithya, et al.
Published: (2025)
Harmonizing Intra-coherence and Inter-divergence in Ensemble Attacks for Adversarial Transferability
by: Ma, Zhaoyang, et al.
Published: (2025)
by: Ma, Zhaoyang, et al.
Published: (2025)
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
by: Wang, Changhong, et al.
Published: (2024)
by: Wang, Changhong, et al.
Published: (2024)
DeepMF: Deep Motion Factorization for Closed-Loop Safety-Critical Driving Scenario Simulation
by: Li, Yizhe, et al.
Published: (2024)
by: Li, Yizhe, et al.
Published: (2024)
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses
by: Nguyen, Thanh, et al.
Published: (2024)
by: Nguyen, Thanh, et al.
Published: (2024)
Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning
by: Peng, Hao, et al.
Published: (2025)
by: Peng, Hao, et al.
Published: (2025)
Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
by: Lee, Sunwoo, et al.
Published: (2026)
by: Lee, Sunwoo, et al.
Published: (2026)
Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
by: Hamidi, Shayan Mohajer, et al.
Published: (2024)
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness
by: Wang, Dingrong, et al.
Published: (2024)
by: Wang, Dingrong, et al.
Published: (2024)
Residual Reward Models for Preference-based Reinforcement Learning
by: Cao, Chenyang, et al.
Published: (2025)
by: Cao, Chenyang, et al.
Published: (2025)
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning
by: Guo, Siyuan, et al.
Published: (2023)
by: Guo, Siyuan, et al.
Published: (2023)
The Impact of Machine Learning Uncertainty on the Robustness of Counterfactual Explanations
by: Christodoulou, Leonidas, et al.
Published: (2026)
by: Christodoulou, Leonidas, et al.
Published: (2026)
Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning
by: Qin, Kai, et al.
Published: (2025)
by: Qin, Kai, et al.
Published: (2025)
Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation
by: Yamabe, Shojiro, et al.
Published: (2024)
by: Yamabe, Shojiro, et al.
Published: (2024)
Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model
by: Herremans, Siemen, et al.
Published: (2024)
by: Herremans, Siemen, et al.
Published: (2024)
Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer
by: Kong, Yilun, et al.
Published: (2025)
by: Kong, Yilun, et al.
Published: (2025)
Adversarial Reinforcement Learning Framework for ESP Cheater Simulation
by: Park, Inkyu, et al.
Published: (2025)
by: Park, Inkyu, et al.
Published: (2025)
Credal Ensemble Distillation for Uncertainty Quantification
by: Wang, Kaizheng, et al.
Published: (2025)
by: Wang, Kaizheng, et al.
Published: (2025)
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
by: Ma, Guozheng, et al.
Published: (2023)
by: Ma, Guozheng, et al.
Published: (2023)
Robust off-policy Reinforcement Learning via Soft Constrained Adversary
by: Nakanishi, Kosuke, et al.
Published: (2024)
by: Nakanishi, Kosuke, et al.
Published: (2024)
GAR: Generative Adversarial Reinforcement Learning for Formal Theorem Proving
by: Wang, Ruida, et al.
Published: (2025)
by: Wang, Ruida, et al.
Published: (2025)
Scale-free Adversarial Reinforcement Learning
by: Chen, Mingyu, et al.
Published: (2024)
by: Chen, Mingyu, et al.
Published: (2024)
Adversarial Preference Learning for Robust LLM Alignment
by: Wang, Yuanfu, et al.
Published: (2025)
by: Wang, Yuanfu, et al.
Published: (2025)
RLAE: Reinforcement Learning-Assisted Ensemble for LLMs
by: Fu, Yuqian, et al.
Published: (2025)
by: Fu, Yuqian, et al.
Published: (2025)
Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption
by: He, Longxiang, et al.
Published: (2025)
by: He, Longxiang, et al.
Published: (2025)
Similar Items
-
Wavelet Fourier Diffuser: Frequency-Aware Diffusion Model for Reinforcement Learning
by: Luo, Yifu, et al.
Published: (2025) -
DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays
by: Xia, Bo, et al.
Published: (2024) -
Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space
by: Liu, Qianmei, et al.
Published: (2024) -
A Method on Searching Better Activation Functions
by: Sun, Haoyuan, et al.
Published: (2024) -
A Dual-Agent Adversarial Framework for Robust Generalization in Deep Reinforcement Learning
by: Xie, Zhengpeng, et al.
Published: (2025)