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LiZhYun authored Jun 10, 2024
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Expand Up @@ -20,12 +20,12 @@ I am a doctoral student at the University of Electronic Science and Technology o

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 have passed my thesis defense at May 2024 and will join [Aalto Robot Learning Lab](https://rl.aalto.fi/) as a postdoc.

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##### News

- Jun 2024: I will be joining [Aalto Robot Learning Lab](https://rl.aalto.fi/) as a postdoc.
- May 2024: Optimistic Multi-Agent Policy Gradient is accepted by ICML2024.
- 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.
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