update

_bibliography/papers.bib

@@ -25,6 +25,20 @@ @article{BPTA
 selected={true}
 }
 
+@article{DMS, 
+title={Coordination as Inference in Multi-Agent Reinforcement Learning}, 
+journal={Neural Networks}, 
+volume={37}, 
+number={1},
+DOI={10.1609/aaai.v37i1.25070},
+author={Li, Zhiyuan and Wu, Lijun and Su, Kaile and Jing, Yulin and Wu, Tong and Duan, Weiwei, and Yue, Xiaofeng and Tong, Xiyi and Han, Yizhou}, 
+year={2024}, 
+month={Jun.}, 
+pages={3-10},
+preview={dms.jpg},
+selected={true}
+}
+
 
 
 

_bibliography/unpublished.bib

@@ -1,10 +0,0 @@
-@article{lai2023ddps,
-    title = {Coordination as Inference in MARL},
-    journal = {},
-    abbr={},
-    year = {2023},
-    author = {Zhiyuan Li*, Lijun Wu, Kaile Su, Wei Wu, Yulin Jing, Tong Wu, Weiwei Duan, Xiaofeng Yue, Xiyi Tong, and Yizhou Han},
-    url={},
-    html={},
-    preview={},
-}

_pages/about.md

@@ -18,14 +18,15 @@ Student, University of Electronic Science and Technology of China <br/>
 
 I am a doctoral student at the University of Electronic Science and Technology of China, advised by [Prof. Lijun Wu](https://www.researchgate.net/profile/Lijun-Wu-4). Before that, I received my B.S. in Computer Science and Technology from North China Electric Power University in 2015.
 
-My research interest lies in artificial intelligence, multi-agent systems, and reinforcement learning. Previously, I conducted a one-year visit at the [Aalto Robot Learning Lab](https://rl.aalto.fi/) in Aalto University, advised by [Prof. Joni Pajarinen](https://people.aalto.fi/joni.pajarinen).
+My principal research interest lies in autonomous agents, aiming to enable machines to automatically and continuously learn from their environment and achieve robust collaboration/cooperation with other agents. My expertise encompasses a focused exploration of deep reinforcement learning and multi-agent systems, applied extensively to address dynamic decision-making problems, including network optimization. The outcomes of these research efforts have been published in esteemed international journals and conferences, including notable contributions such as AAAI, Neural Networks, etc. Moreover, I am deeply intrigued by the challenges of artificial general intelligence, particularly in the realms of generalization and zero-shot coordination. My future research aims to integrate research in Reinforcement Learning, Imitation Learning, and Robotics to foster integrative research streams leading to the development of Intelligent Systems where agents perceive their environment, can learn from the data they collect, coordinate their actions to achieve a common goal and adapt to the changing world around them. Previously, I conducted a one-year visit at the [Aalto Robot Learning Lab](https://rl.aalto.fi/) in Aalto University, advised by [Prof. Joni Pajarinen](https://people.aalto.fi/joni.pajarinen).
 
-<!-- I will be graduated at July 2024 and open for postdoc position. -->
+I will be graduated at July 2024 and open for postdoc position.
 
 ----
 
 ##### News
 
+- Jan 2024: [DMS](https://github.com/LiZhYun/Coordination-as-Inference-in-Multi-Agent-Reinforcement-Learning) is accepted by Elsevier Neural Networks.
 - Dec 2023: [BPTA](https://github.com/LiZhYun/BackPropagationThroughAgents) is accepted by AAAI 2024.
 - Nov 2022: Conducting a one-year visit at the [Aalto Robot Learning Lab](https://rl.aalto.fi/) in Aalto University.
 - Sept 2022: [OCRA](https://ieeexplore.ieee.org/document/9888778) is accepted by IEEE Transactions on Network and Service Management.