Saved in:
| Main Authors: | Xue, Jintao, Li, Xiao, Zhang, Nianmin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.12669 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Safe reinforcement learning with online filtering for fatigue-predictive human-robot task planning and allocation in production
by: Xue, Jintao, et al.
Published: (2026)
by: Xue, Jintao, et al.
Published: (2026)
Research on reinforcement learning based warehouse robot navigation algorithm in complex warehouse layout
by: Li, Keqin, et al.
Published: (2024)
by: Li, Keqin, et al.
Published: (2024)
Exploring the hierarchical structure of human plans via program generation
by: Correa, Carlos G., et al.
Published: (2023)
by: Correa, Carlos G., et al.
Published: (2023)
Socially aware navigation for mobile robots: a survey on deep reinforcement learning approaches
by: Kabir, Ibrahim Khalil, et al.
Published: (2025)
by: Kabir, Ibrahim Khalil, et al.
Published: (2025)
Curriculum reinforcement learning with measurable task representation learning
by: Wen, Yongyan, et al.
Published: (2026)
by: Wen, Yongyan, et al.
Published: (2026)
Federated reinforcement learning for robot motion planning with zero-shot generalization
by: Yuan, Zhenyuan, et al.
Published: (2024)
by: Yuan, Zhenyuan, et al.
Published: (2024)
Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning
by: Kobayashi, Seijin, et al.
Published: (2025)
by: Kobayashi, Seijin, et al.
Published: (2025)
Reinforcement learning based local path planning for mobile robot
by: Gok, Mehmet, et al.
Published: (2023)
by: Gok, Mehmet, et al.
Published: (2023)
Self context-aware emotion perception on human-robot interaction
by: Lin, Zihan, et al.
Published: (2024)
by: Lin, Zihan, et al.
Published: (2024)
Intelligent logistics management robot path planning algorithm integrating transformer and GCN network
by: Luo, Hao, et al.
Published: (2025)
by: Luo, Hao, et al.
Published: (2025)
Carbon-aware decentralized dynamic task offloading in MIMO-MEC networks via multi-agent reinforcement learning
by: Zulfiqar, Mubshra, et al.
Published: (2026)
by: Zulfiqar, Mubshra, et al.
Published: (2026)
Correspondence learning between morphologically different robots via task demonstrations
by: Aktas, Hakan, et al.
Published: (2023)
by: Aktas, Hakan, et al.
Published: (2023)
Online inductive learning from answer sets for efficient reinforcement learning exploration
by: Veronese, Celeste, et al.
Published: (2025)
by: Veronese, Celeste, et al.
Published: (2025)
Dynamic planning in hierarchical active inference
by: Priorelli, Matteo, et al.
Published: (2024)
by: Priorelli, Matteo, et al.
Published: (2024)
Bellman operator convergence enhancements in reinforcement learning algorithms
by: Kadurha, David Krame, et al.
Published: (2025)
by: Kadurha, David Krame, et al.
Published: (2025)
Leveraging LLMs for reward function design in reinforcement learning control tasks
by: Cardenoso, Franklin, et al.
Published: (2025)
by: Cardenoso, Franklin, et al.
Published: (2025)
Human strategies for correcting `human-robot' errors during a laundry sorting task
by: Barnard, Pepita, et al.
Published: (2025)
by: Barnard, Pepita, et al.
Published: (2025)
K2MUSE: A human lower-limb multimodal walking dataset spanning task and acquisition variability for rehabilitation robotics
by: Li, Jiwei, et al.
Published: (2025)
by: Li, Jiwei, et al.
Published: (2025)
On the benefits of pixel-based hierarchical policies for task generalization
by: Cristea-Platon, Tudor, et al.
Published: (2024)
by: Cristea-Platon, Tudor, et al.
Published: (2024)
Not all tokens are needed(NAT): token efficient reinforcement learning
by: Sang, Hejian, et al.
Published: (2026)
by: Sang, Hejian, et al.
Published: (2026)
Modulation of temporal decision-making in a deep reinforcement learning agent under the dual-task paradigm
by: Pednekar, Amrapali, et al.
Published: (2025)
by: Pednekar, Amrapali, et al.
Published: (2025)
Machine learning-based cloud resource allocation algorithms: a comprehensive comparative review
by: Bodra, Deep, et al.
Published: (2025)
by: Bodra, Deep, et al.
Published: (2025)
Zero-shot adaptable task planning for autonomous construction robots: a comparative study of lightweight single and multi-AI agent systems
by: Naderi, Hossein, et al.
Published: (2026)
by: Naderi, Hossein, et al.
Published: (2026)
An exploration for higher efficiency in multi objective optimisation with reinforcement learning
by: Aydin, Mehmet Emin
Published: (2025)
by: Aydin, Mehmet Emin
Published: (2025)
An advantage based policy transfer algorithm for reinforcement learning with measures of transferability
by: Alam, Md Ferdous, et al.
Published: (2023)
by: Alam, Md Ferdous, et al.
Published: (2023)
Training slow silicon neurons to control extremely fast robots with spiking reinforcement learning
by: Ambrosini, Irene, et al.
Published: (2026)
by: Ambrosini, Irene, et al.
Published: (2026)
An efficient deep reinforcement learning environment for flexible job-shop scheduling
by: Wu, Xinquan, et al.
Published: (2025)
by: Wu, Xinquan, et al.
Published: (2025)
Knowledge capture, adaptation and composition (KCAC): A framework for cross-task curriculum learning in robotic manipulation
by: Wang, Xinrui, et al.
Published: (2025)
by: Wang, Xinrui, et al.
Published: (2025)
The intrinsic motivation of reinforcement and imitation learning for sequential tasks
by: Nguyen, Sao Mai
Published: (2024)
by: Nguyen, Sao Mai
Published: (2024)
Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm
by: Renard, Titouan, et al.
Published: (2024)
by: Renard, Titouan, et al.
Published: (2024)
Learning to summarize user information for personalized reinforcement learning from human feedback
by: Nam, Hyunji, et al.
Published: (2025)
by: Nam, Hyunji, et al.
Published: (2025)
Designing an efficient and equitable humanitarian supply chain dynamically via reinforcement learning
by: Jin, Weijia
Published: (2025)
by: Jin, Weijia
Published: (2025)
Let people fail! Exploring the influence of explainable virtual and robotic agents in learning-by-doing tasks
by: Matarese, Marco, et al.
Published: (2024)
by: Matarese, Marco, et al.
Published: (2024)
NiceWebRL: a Python library for human subject experiments with reinforcement learning environments
by: Carvalho, Wilka, et al.
Published: (2025)
by: Carvalho, Wilka, et al.
Published: (2025)
Imitation of human motion achieves natural head movements for humanoid robots in an active-speaker detection task
by: Ding, Bosong, et al.
Published: (2024)
by: Ding, Bosong, et al.
Published: (2024)
Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning
by: Su, Xuerui, et al.
Published: (2025)
by: Su, Xuerui, et al.
Published: (2025)
Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research
by: Dohmen, Jan, et al.
Published: (2024)
by: Dohmen, Jan, et al.
Published: (2024)
State- and context-dependent robotic manipulation and grasping via uncertainty-aware imitation learning
by: Winter, Tim R., et al.
Published: (2024)
by: Winter, Tim R., et al.
Published: (2024)
Adaptive parameter sharing for multi-agent reinforcement learning
by: Li, Dapeng, et al.
Published: (2023)
by: Li, Dapeng, et al.
Published: (2023)
Reinforcement learning for freeform robot design
by: Li, Muhan, et al.
Published: (2023)
by: Li, Muhan, et al.
Published: (2023)
Similar Items
-
Safe reinforcement learning with online filtering for fatigue-predictive human-robot task planning and allocation in production
by: Xue, Jintao, et al.
Published: (2026) -
Research on reinforcement learning based warehouse robot navigation algorithm in complex warehouse layout
by: Li, Keqin, et al.
Published: (2024) -
Exploring the hierarchical structure of human plans via program generation
by: Correa, Carlos G., et al.
Published: (2023) -
Socially aware navigation for mobile robots: a survey on deep reinforcement learning approaches
by: Kabir, Ibrahim Khalil, et al.
Published: (2025) -
Curriculum reinforcement learning with measurable task representation learning
by: Wen, Yongyan, et al.
Published: (2026)