Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
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Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Short description of portfolio item number 1
Short description of portfolio item number 2
publications
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
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Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Paper Title Number 5, with math \(E=mc^2\)
Published in GitHub Journal of Bugs, 2024
This paper is about a famous math equation, \(E=mc^2\)
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Strategic Evolutionary Reinforcement Learning With Operator Selection and Experience Filter
Published in IEEE Transactions on Neural Networks and Learning Systems, 2025
The shared replay buffer is the core of synergy in evolutionary reinforcement learning (ERL). Existing methods overlooked the objective conflict between population evolution in evolutionary algorithm and ERL, leading to poor quality of the replay buffer. In this article, we propose a strategic ERL algorithm with operator selection and experience filter (SERL-OS-EF) to address the objective conflict issue and improve the synergy from three aspects: 1) an operator selection strategy is proposed to enhance the performance of all individuals, thereby fundamentally improving the quality of experiences generated by the population; 2) an experience filter is introduced to filter the experiences obtained from the population, maintaining the long-term high quality of the buffer; and 3) a dynamic mixed sampling strategy is introduced to improve the efficiency of RL agent learning from the buffer. Experiments in four MuJoCo locomotion environments and three Ant-Maze environments with deceptive rewards demonstrate the superiority of the proposed method. In addition, the practical significance of the proposed method is verified on a low-carbon multienergy microgrid (MEMG) energy management task.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.