Stackelberg game-theoretic trajectory guidance for multi-robot systems with koopman operator
Guided trajectory planning involves a leader robot strategically directing a follower robot to
collaboratively reach a designated destination. However, this task becomes notably …
collaboratively reach a designated destination. However, this task becomes notably …
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
Z Zheng, S Gu - arxiv preprint arxiv:2405.18209, 2024 - arxiv.org
Ensuring safety in MARL, particularly when deploying it in real-world applications such as
autonomous driving, emerges as a critical challenge. To address this challenge, traditional …
autonomous driving, emerges as a critical challenge. To address this challenge, traditional …
Learning and Game-Theoretic Paradigms for Strategic Coordination of Multi-Agent Autonomous Systems
Y Zhao - 2024 - search.proquest.com
Multi-agent systems (MASs) are intelligent systems that include multiple agents interacting to
achieve various tasks. They have demonstrated significant capabilities in complex …
achieve various tasks. They have demonstrated significant capabilities in complex …
Stackelberg Game-Theoretic Learning for Collaborative Assembly Task Planning
As assembly tasks grow in complexity, collaboration among multiple robots becomes
essential for task completion. However, centralized task planning has become inadequate …
essential for task completion. However, centralized task planning has become inadequate …
A Multi-Agent Q-Learning with Value Function Approximation Based on Single-leader Multi-followers Stackelberg Game
C Zhu, W Yu, H Wang - 2023 IEEE 13th International …, 2023 - ieeexplore.ieee.org
Although multi-agent reinforcement learning (MARL) has made significant progress in
dealing with complex tasks, the hypothesis that agents act simultaneously still limits the …
dealing with complex tasks, the hypothesis that agents act simultaneously still limits the …
Heterogeneous Robots Collaborative Applications in Manufacturing Systems With Asymmetric Reinforcement Learning
L Shi - 2023 - search.proquest.com
Smart factories have emerged as a transformative approach to manufacturing, integrating
advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and …
advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and …