Learning strategy for continuous robot visual control: A multi-objective perspective

Author:

Xu MengORCID,Wang Jianping

Funder

City University of Hong Kong

City University of Hong Kong Shenzhen Research Institute

Research Grants Council, University Grants Committee

Science, Technology and Innovation Commission of Shenzhen Municipality

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Cited by 9 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. Progressive Hierarchical Deep Reinforcement Learning for defect wafer test;Knowledge-Based Systems;2024-07

2. Time-Varying Weights in Multi-Reward Architecture for Deep Reinforcement Learning;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-04

3. Policy Correction and State-Conditioned Action Evaluation for Few-Shot Lifelong Deep Reinforcement Learning;IEEE Transactions on Neural Networks and Learning Systems;2024

4. Strengthening Cooperative Consensus in Multi-Robot Confrontation;ACM Transactions on Intelligent Systems and Technology;2023-12-29

5. Interactive Multi-Objective Reinforcement Learning for Continuous Robot Control;2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP);2023-12-15

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