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个人简介
My research goal is to better understand intelligence from the perspective of agent incentives and multi-agent interactions which drive complex social behaviors. To do this, I primarily conduct fundamental research in Multi-Agent Reinforcement Learning (MARL), which lies at the intersection of Reinforcement Learning (RL) and Game Theory, and is a standard mathematical formulation for sequential multi-agent decision-making under uncertainty.
In the long-term, my goal is to help build agents with meta-cognitive and moral capabilities. I believe that rather than trying to engineer these traits explicitly, they can emerge from two ingredients in a multi-agent system: (1) a sufficiently flexible and adaptive policy for each agent and (2) the right evolutionary and incentive pressures such that these traits are necessary and/or beneficial for survival.
In the long-term, my goal is to help build agents with meta-cognitive and moral capabilities. I believe that rather than trying to engineer these traits explicitly, they can emerge from two ingredients in a multi-agent system: (1) a sufficiently flexible and adaptive policy for each agent and (2) the right evolutionary and incentive pressures such that these traits are necessary and/or beneficial for survival.
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AAAI 2024no. 12 (2024): 13160-13167
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