Redundant Robot Control Using Multi Agent Reinforcement Learning
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9210430/9216730/09216774.pdf?arnumber=9216774
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Hierarchical Robot Learning Framework for Manipulator Reactive Motion Generation via Multi-Agent Reinforcement Learning and Riemannian Motion Policies;IEEE Access;2023
2. A Deep Reinforcement Learning Based Efficient Optimization Solution Method for Inverse Kinematics of Hyper-redundant Robot;2022 IEEE International Conference on Robotics and Biomimetics (ROBIO);2022-12-05
3. Characterization of continuum robot arms under reinforcement learning and derived improvements;Frontiers in Robotics and AI;2022-09-01
4. Manipulator Motion Planning via Centralized Training and Decentralized Execution Multi-Agent Reinforcement Learning;2022 International Conference on Advanced Robotics and Mechatronics (ICARM);2022-07-09
5. Human-behavior learning: A new complementary learning perspective for optimal decision making controllers;Neurocomputing;2022-06
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