Copertina

TERL: Large-Scale Multi-Target Encirclement Using Transformer-Enhanced Reinforcement Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Heng, Zhao, Guoxiang, Ren, Xiaoqiang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Robotics Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ARBoids: Adaptive Residual Reinforcement Learning With Boids Model for Cooperative Multi-USV Target Defense
di: Tao, Jiyue, et al.
Pubblicazione: (2025)

Bresa: Bio-inspired Reflexive Safe Reinforcement Learning for Contact-Rich Robotic Tasks
di: Zhang, Heng, et al.
Pubblicazione: (2025)

Filtering Learning Histories Enhances In-Context Reinforcement Learning
di: Chen, Weiqin, et al.
Pubblicazione: (2025)

Offline Actor-Critic Reinforcement Learning Scales to Large Models
di: Springenberg, Jost Tobias, et al.
Pubblicazione: (2024)

State Chrono Representation for Enhancing Generalization in Reinforcement Learning
di: Chen, Jianda, et al.
Pubblicazione: (2024)

Differentiable Information Enhanced Model-Based Reinforcement Learning
di: Zhang, Xiaoyuan, et al.
Pubblicazione: (2025)

Agile Interception of a Flying Target using Competitive Reinforcement Learning
di: Gavin, Timothée, et al.
Pubblicazione: (2026)

Multi-Task Reinforcement Learning for Quadrotors
di: Xing, Jiaxu, et al.
Pubblicazione: (2024)

Online Planning for Multi-UAV Pursuit-Evasion in Unknown Environments Using Deep Reinforcement Learning
di: Chen, Jiayu, et al.
Pubblicazione: (2024)

Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models
di: Luu, Tung Minh, et al.
Pubblicazione: (2025)

DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting
di: Jiang, Eric Hanchen, et al.
Pubblicazione: (2024)

Aerial Target Encirclement and Interception with Noisy Range Observations
di: Liu, Fen, et al.
Pubblicazione: (2025)

Learning to Optimize Package Picking for Large-Scale, Real-World Robot Induction
di: Li, Shuai, et al.
Pubblicazione: (2025)

Rethinking Policy Diversity in Ensemble Policy Gradient in Large-Scale Reinforcement Learning
di: Shitanda, Naoki, et al.
Pubblicazione: (2026)

Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning
di: Narendra, Aditya, et al.
Pubblicazione: (2026)

Enhancing Tactile-based Reinforcement Learning for Robotic Control
di: Miller, Elle, et al.
Pubblicazione: (2025)

Multi-Robot Target Monitoring and Encirclement via Triggered Distributed Feedback Optimization
di: Pichierri, Lorenzo, et al.
Pubblicazione: (2024)

Target Return Optimizer for Multi-Game Decision Transformer
di: Tatematsu, Kensuke, et al.
Pubblicazione: (2025)

TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning
di: Li, Ge, et al.
Pubblicazione: (2024)

Autonomous Path Planning for Intercostal Robotic Ultrasound Imaging Using Reinforcement Learning
di: Bi, Yuan, et al.
Pubblicazione: (2024)

GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning
di: Xiong, Heng, et al.
Pubblicazione: (2024)

Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
di: Cao, Yuji, et al.
Pubblicazione: (2024)

Transformer-based Multi-agent Reinforcement Learning for Separation Assurance in Structured and Unstructured Airspaces
di: Aziz, Arsyi, et al.
Pubblicazione: (2026)

Bipedalism for Quadrupedal Robots: Versatile Loco-Manipulation through Risk-Adaptive Reinforcement Learning
di: Zhang, Yuyou, et al.
Pubblicazione: (2025)

Adaptive Target Localization under Uncertainty using Multi-Agent Deep Reinforcement Learning with Knowledge Transfer
di: Alagha, Ahmed, et al.
Pubblicazione: (2025)

Structured Deep Neural Network-Based Backstepping Trajectory Tracking Control for Lagrangian Systems
di: Qian, Jiajun, et al.
Pubblicazione: (2024)

Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning
di: Wang, Pengyu, et al.
Pubblicazione: (2025)

Research and Design on Intelligent Recognition of Unordered Targets for Robots Based on Reinforcement Learning
di: Mao, Yiting, et al.
Pubblicazione: (2025)

Safety-Critical Scenario Generation Via Reinforcement Learning Based Editing
di: Liu, Haolan, et al.
Pubblicazione: (2023)

Stone Soup Multi-Target Tracking Feature Extraction For Autonomous Search And Track In Deep Reinforcement Learning Environment
di: Ewers, Jan-Hendrik, et al.
Pubblicazione: (2025)

FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control
di: Seo, Younggyo, et al.
Pubblicazione: (2025)

Cost Function Estimation Using Inverse Reinforcement Learning with Minimal Observations
di: Mehrdad, Sarmad, et al.
Pubblicazione: (2025)

Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion Planning
di: Zhang, Zengjie, et al.
Pubblicazione: (2023)

A Scalable Decentralized Reinforcement Learning Framework for UAV Target Localization Using Recurrent PPO
di: Fernando, Leon, et al.
Pubblicazione: (2024)

Leveraging Temporally Extended Behavior Sharing for Multi-task Reinforcement Learning
di: Lee, Gawon, et al.
Pubblicazione: (2025)

Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping
di: Liu, Guangyi, et al.
Pubblicazione: (2025)

Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
di: Zheng, Zhi, et al.
Pubblicazione: (2024)

Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning
di: Kanazawa, Takuya, et al.
Pubblicazione: (2023)

Constraint-Enhanced Reinforcement Learning Based on Dynamic Decoupled Spherical Radial Squashing
di: Liao, Qijun, et al.
Pubblicazione: (2026)

What Matters in Learning from Large-Scale Datasets for Robot Manipulation
di: Saxena, Vaibhav, et al.
Pubblicazione: (2025)