On the Perturbed States for Transformed Input-robust Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Luu, Tung M., Kang, Haeyong, Ton, Tri, Nguyen, Thanh, Yoo, Chang D. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning
by: Nguyen, Thanh, et al.
Published: (2026)
by: Nguyen, Thanh, et al.
Published: (2026)
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization
by: Luu, Tung M., et al.
Published: (2024)
by: Luu, Tung M., et al.
Published: (2024)
Soft-TransFormers for Continual Learning
by: Kang, Haeyong, et al.
Published: (2024)
by: Kang, Haeyong, et al.
Published: (2024)
Predictive Coding for Decision Transformer
by: Luu, Tung M., et al.
Published: (2024)
by: Luu, Tung M., et al.
Published: (2024)
One-Step Flow Q-Learning: Addressing the Diffusion Policy Bottleneck in Offline Reinforcement Learning
by: Nguyen, Thanh, et al.
Published: (2025)
by: Nguyen, Thanh, et al.
Published: (2025)
Sample Efficient Reinforcement Learning via Large Vision Language Model Distillation
by: Lee, Donghoon, et al.
Published: (2025)
by: Lee, Donghoon, et al.
Published: (2025)
Mixtures of SubExperts for Large Language Continual Learning
by: Kang, Haeyong
Published: (2025)
by: Kang, Haeyong
Published: (2025)
Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning
by: Lee, Younghwan, et al.
Published: (2025)
by: Lee, Younghwan, et al.
Published: (2025)
Continual Learning: Forget-free Winning Subnetworks for Video Representations
by: Kang, Haeyong, et al.
Published: (2023)
by: Kang, Haeyong, et al.
Published: (2023)
Policy Learning from Large Vision-Language Model Feedback without Reward Modeling
by: Luu, Tung M., et al.
Published: (2025)
by: Luu, Tung M., et al.
Published: (2025)
Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models
by: Luu, Tung Minh, et al.
Published: (2025)
by: Luu, Tung Minh, et al.
Published: (2025)
Progressive Fourier Neural Representation for Sequential Video Compilation
by: Kang, Haeyong, et al.
Published: (2023)
by: Kang, Haeyong, et al.
Published: (2023)
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective
by: Le, Minh, et al.
Published: (2024)
by: Le, Minh, et al.
Published: (2024)
Learned Mappings for Targeted Free Energy Perturbation between Peptide Conformations
by: Willow, Soohaeng Yoo, et al.
Published: (2023)
by: Willow, Soohaeng Yoo, et al.
Published: (2023)
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
by: Dao, Tri, et al.
Published: (2024)
by: Dao, Tri, et al.
Published: (2024)
How Transformers Learn In-Context Recall Tasks? Optimality, Training Dynamics and Generalization
by: Nguyen, Quan, et al.
Published: (2025)
by: Nguyen, Quan, et al.
Published: (2025)
CADKnitter: Compositional CAD Generation from Text and Geometry Guidance
by: Le, Tri, et al.
Published: (2025)
by: Le, Tri, et al.
Published: (2025)
Diffusion Guided Adversarial State Perturbations in Reinforcement Learning
by: Sun, Xiaolin, et al.
Published: (2025)
by: Sun, Xiaolin, et al.
Published: (2025)
FastDiSS: Few-step Match Many-step Diffusion Language Model on Sequence-to-Sequence Generation--Full Version
by: Nguyen-Cong, Dat, et al.
Published: (2026)
by: Nguyen-Cong, Dat, et al.
Published: (2026)
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond
by: Nguyen-Tang, Thanh, et al.
Published: (2024)
by: Nguyen-Tang, Thanh, et al.
Published: (2024)
Causal-Aware Generative Adversarial Networks with Reinforcement Learning
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)
Preference-Guided Learning for Sparse-Reward Multi-Agent Reinforcement Learning
by: Bui, The Viet, et al.
Published: (2025)
by: Bui, The Viet, et al.
Published: (2025)
Equivariant Neural Functional Networks for Transformers
by: Tran, Viet-Hoang, et al.
Published: (2024)
by: Tran, Viet-Hoang, et al.
Published: (2024)
Defect Prediction with Content-based Features
by: Pham, Hung Viet, et al.
Published: (2024)
by: Pham, Hung Viet, et al.
Published: (2024)
MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation
by: Pham, Trung X., et al.
Published: (2024)
by: Pham, Trung X., et al.
Published: (2024)
Regret-Based Defense in Adversarial Reinforcement Learning
by: Belaire, Roman, et al.
Published: (2023)
by: Belaire, Roman, et al.
Published: (2023)
Reinforcement Learning of Structured Control for Linear Systems with Unknown State Matrix
by: Mukherjee, Sayak, et al.
Published: (2020)
by: Mukherjee, Sayak, et al.
Published: (2020)
Towards Robust Deep Reinforcement Learning against Environmental State Perturbation
by: Wang, Chenxu, et al.
Published: (2025)
by: Wang, Chenxu, et al.
Published: (2025)
A Comparative Analysis of Contextual Representation Flow in State-Space and Transformer Architectures
by: Hoang, Nhat M., et al.
Published: (2025)
by: Hoang, Nhat M., et al.
Published: (2025)
Analyzing Adversarial Inputs in Deep Reinforcement Learning
by: Corsi, Davide, et al.
Published: (2024)
by: Corsi, Davide, et al.
Published: (2024)
Offline Multitask Representation Learning for Reinforcement Learning
by: Ishfaq, Haque, et al.
Published: (2024)
by: Ishfaq, Haque, et al.
Published: (2024)
Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization
by: Nguyen, Thanh Thi, et al.
Published: (2025)
by: Nguyen, Thanh Thi, et al.
Published: (2025)
Simulation-based Methods for Optimal Sampling Design in Systems Biology
by: Ha, Tuan Minh, et al.
Published: (2025)
by: Ha, Tuan Minh, et al.
Published: (2025)
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization
by: Bui, The Viet, et al.
Published: (2024)
by: Bui, The Viet, et al.
Published: (2024)
Securing SIM-Assisted Wireless Networks via Quantum Reinforcement Learning
by: Hoang, Le-Hung, et al.
Published: (2026)
by: Hoang, Le-Hung, et al.
Published: (2026)
Cross-Input Certified Training for Universal Perturbations
by: Xu, Changming, et al.
Published: (2024)
by: Xu, Changming, et al.
Published: (2024)
TransDreamer: Reinforcement Learning with Transformer World Models
by: Chen, Chang, et al.
Published: (2022)
by: Chen, Chang, et al.
Published: (2022)
Learning to Stop Overthinking at Test Time
by: Bao, Hieu Tran, et al.
Published: (2025)
by: Bao, Hieu Tran, et al.
Published: (2025)
Online Optimization for Offline Safe Reinforcement Learning
by: Chemingui, Yassine, et al.
Published: (2025)
by: Chemingui, Yassine, et al.
Published: (2025)
Similar Items
-
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses
by: Nguyen, Thanh, et al.
Published: (2024) -
Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning
by: Nguyen, Thanh, et al.
Published: (2026) -
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization
by: Luu, Tung M., et al.
Published: (2024) -
Soft-TransFormers for Continual Learning
by: Kang, Haeyong, et al.
Published: (2024) -
Predictive Coding for Decision Transformer
by: Luu, Tung M., et al.
Published: (2024)