Cover Image

Guardian: Decoupling Exploration from Safety in Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cai, Kaitong, Zhang, Jusheng, Yang, Jing, Wang, Keze
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Dynamics of VLM Finetuning
by: Zhang, Jusheng, et al.
Published: (2025)

Causal Invariance and Counterfactual Learning Driven Cooperative Game for Multi-Label Classification
by: Fan, Yijia, et al.
Published: (2025)

Kolmogorov-Arnold Fourier Networks
by: Zhang, Jusheng, et al.
Published: (2025)

CF-VLM:CounterFactual Vision-Language Fine-tuning
by: Zhang, Jusheng, et al.
Published: (2025)

MAT-Agent: Adaptive Multi-Agent Training Optimization
by: Zhang, Jusheng, et al.
Published: (2025)

RevFFN: Memory-Efficient Full-Parameter Fine-Tuning of Mixture-of-Experts LLMs with Reversible Blocks
by: Liu, Ningyuan, et al.
Published: (2025)

Spectral Gating Networks
by: Zhang, Jusheng, et al.
Published: (2026)

Why Keep Your Doubts to Yourself? Trading Visual Uncertainties in Multi-Agent Bandit Systems
by: Zhang, Jusheng, et al.
Published: (2026)

Backward-Friendly Optimization: Training Large Language Models with Approximate Gradients under Memory Constraints
by: Yang, Jing, et al.
Published: (2025)

Rational ANOVA Networks
by: Zhang, Jusheng, et al.
Published: (2026)

RaCoT: Plug-and-Play Contrastive Example Generation Mechanism for Enhanced LLM Reasoning Reliability
by: Cai, Kaitong, et al.
Published: (2025)

OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration
by: Zhang, Jusheng, et al.
Published: (2025)

A Scalable Curiosity-Driven Game-Theoretic Framework for Long-Tail Multi-Label Learning in Data Mining
by: Yang, Jing, et al.
Published: (2026)

Top-Down Semantic Refinement for Image Captioning
by: Zhang, Jusheng, et al.
Published: (2025)

Cost-Effective Communication: An Auction-based Method for Language Agent Interaction
by: Fan, Yijia, et al.
Published: (2025)

Failure-Driven Workflow Refinement
by: Zhang, Jusheng, et al.
Published: (2025)

Process-of-Thought Reasoning for Videos
by: Zhang, Jusheng, et al.
Published: (2026)

Decoupled Guidance Diffusion for Adaptive Offline Safe Reinforcement Learning
by: Chen, Rufeng, et al.
Published: (2026)

Agent-GSPO: Communication-Efficient Multi-Agent Systems via Group Sequence Policy Optimization
by: Fan, Yijia, et al.
Published: (2025)

Reinforcement Learning by Guided Safe Exploration
by: Yang, Qisong, et al.
Published: (2023)

Conservative Distributional Reinforcement Learning with Safety Constraints
by: Zhang, Hengrui, et al.
Published: (2022)

OPRIDE: Offline Preference-based Reinforcement Learning via In-Dataset Exploration
by: Yang, Yiqin, et al.
Published: (2026)

DrDiff: Dynamic Routing Diffusion with Hierarchical Attention for Breaking the Efficiency-Quality Trade-off
by: Zhang, Jusheng, et al.
Published: (2025)

Efficient Reinforcement Learning for Large Language Models with Intrinsic Exploration
by: Sun, Yan, et al.
Published: (2025)

DreamSAC: Learning Hamiltonian World Models via Symmetry Exploration
by: Tang, Jinzhou, et al.
Published: (2026)

Augmented Lagrangian Multiplier Network for State-wise Safety in Reinforcement Learning
by: Zhang, Jiaming, et al.
Published: (2026)

EFRame: Deeper Reasoning via Exploration-Filter-Replay Reinforcement Learning Framework
by: Wang, Chen, et al.
Published: (2025)

In-context Exploration-Exploitation for Reinforcement Learning
by: Dai, Zhenwen, et al.
Published: (2024)

Satisficing Exploration for Deep Reinforcement Learning
by: Arumugam, Dilip, et al.
Published: (2024)

Safety Modulation: Enhancing Safety in Reinforcement Learning through Cost-Modulated Rewards
by: Zhang, Hanping, et al.
Published: (2025)

LPPG-RL: Lexicographically Projected Policy Gradient Reinforcement Learning with Subproblem Exploration
by: Qiu, Ruiyu, et al.
Published: (2025)

Understanding Hardness of Vision-Language Compositionality from A Token-level Causal Lens
by: Chen, Ziliang, et al.
Published: (2025)

Improving Offline-to-Online Reinforcement Learning with Q Conditioned State Entropy Exploration
by: Zhang, Ziqi, et al.
Published: (2023)

Decoupled Hierarchical Reinforcement Learning with State Abstraction for Discrete Grids
by: Xiao, Qingyu, et al.
Published: (2025)

HybridToken-VLM: Hybrid Token Compression for Vision-Language Models
by: Zhang, Jusheng, et al.
Published: (2025)

Is Exploration or Optimization the Problem for Deep Reinforcement Learning?
by: Berseth, Glen
Published: (2025)

Neighboring State-based Exploration for Reinforcement Learning
by: Li, Yu-Teng, et al.
Published: (2022)

Variable-Agnostic Causal Exploration for Reinforcement Learning
by: Nguyen, Minh Hoang, et al.
Published: (2024)

Exploration in Knowledge Transfer Utilizing Reinforcement Learning
by: Jedlička, Adam, et al.
Published: (2024)

Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark
by: Ji, Jiaming, et al.
Published: (2023)