Cover Image

Enhance Exploration in Safe Reinforcement Learning with Contrastive Representation Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Doan, Duc Kien, Le, Bang Giang, Ta, Viet Cuong
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

Toward Finding Strong Pareto Optimal Policies in Multi-Agent Reinforcement Learning
by: Le, Bang Giang, et al.
Published: (2024)

Resolve Highway Conflict in Multi-Autonomous Vehicle Controls with Local State Attention
by: Ta, Xuan Duy, et al.
Published: (2025)

Explicit Credit Assignment through Local Rewards and Dependence Graphs in Multi-Agent Reinforcement Learning
by: Le, Bang Giang, et al.
Published: (2026)

Efficient Bilevel Optimization for Meta Label Correction in Noisy Label Learning
by: Nguyen, Ba Hoang Anh, et al.
Published: (2026)

Balancing Knowledge Distillation for Imbalance Learning with Bilevel Optimization
by: Nguyen, Anh B. H., et al.
Published: (2026)

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

Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition
by: Nguyen, Duc-Anh, et al.
Published: (2023)

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

Improving Graph Convolutional Networks with Transformer Layer in social-based items recommendation
by: Hoang, Thi Linh, et al.
Published: (2024)

Revisiting Safe Exploration in Safe Reinforcement learning
by: Eckel, David, et al.
Published: (2024)

MIR: Efficient Exploration in Episodic Multi-Agent Reinforcement Learning via Mutual Intrinsic Reward
by: Chen, Kesheng, et al.
Published: (2025)

Safe-Support Q-Learning: Learning without Unsafe Exploration
by: Lim, Yeeun, et al.
Published: (2026)

Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
by: Wen, Xiaoyu, et al.
Published: (2024)

Learning Structural Causal Models from Ordering: Identifiable Flow Models
by: Le, Minh Khoa, et al.
Published: (2024)

Enhancing Chess Reinforcement Learning with Graph Representation
by: Rigaux, Tomas, et al.
Published: (2024)

Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
by: Nguyen, Duong M., et al.
Published: (2025)

Flatness-aware Sequential Learning Generates Resilient Backdoors
by: Pham, Hoang, et al.
Published: (2024)

Probabilistic Shielding for Safe Reinforcement Learning
by: Court, Edwin Hamel-De le, et al.
Published: (2025)

Contrastive Abstraction for Reinforcement Learning
by: Patil, Vihang, et al.
Published: (2024)

Sequence Diffusion Model for Temporal Link Prediction in Continuous-Time Dynamic Graph
by: Duc, Nguyen Minh, et al.
Published: (2026)

Adaptive Correlation-Weighted Intrinsic Rewards for Reinforcement Learning
by: Nguyen, Viet Bac, et al.
Published: (2026)

SafeAdapt: Provably Safe Policy Updates in Deep Reinforcement Learning
by: Anisimov, Maksim, et al.
Published: (2026)

Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
by: Tayal, Mumuksh, et al.
Published: (2026)

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)

Safe Reinforcement Learning with Learned Non-Markovian Safety Constraints
by: Low, Siow Meng, et al.
Published: (2024)

Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations
by: Luo, Haozheng, et al.
Published: (2026)

Online Optimization for Offline Safe Reinforcement Learning
by: Chemingui, Yassine, et al.
Published: (2025)

Contrastive Learning Via Equivariant Representation
by: Song, Sifan, et al.
Published: (2024)

Self-Reinforced Graph Contrastive Learning
by: Hsieh, Chou-Ying, et al.
Published: (2025)

Sampling-Based Safe Reinforcement Learning
by: Vignola, Luca, et al.
Published: (2026)

Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning
by: Zhao, Weiye, et al.
Published: (2024)

Divide and Refine: Enhancing Multimodal Representation and Explainability for Emotion Recognition in Conversation
by: Mai, Anh-Tuan, et al.
Published: (2026)

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)

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

PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning
by: Guo, Weiran, et al.
Published: (2025)

Safe Reinforcement Learning for Real-World Engine Control
by: Bedei, Julian, et al.
Published: (2025)

Skill-based Safe Reinforcement Learning with Risk Planning
by: Zhang, Hanping, et al.
Published: (2025)

Offline Safe Reinforcement Learning Using Trajectory Classification
by: Gong, Ze, et al.
Published: (2024)