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Seminar on "Emergence of Cooperation via Reinforcement Learning in Multiagent Systems " by Prof. Zhihai Rong

22 Mar 2024

Date: 22 March 2024, Friday
Time: 4:30pm
Venue: CD634, The Hong Kong Polytechnic University
Zoom Meeting ID: 955 7075 2299
Password: 123456
Speaker: Prof. Zhihai Rong, Donghua University, Shanghai

 

Emergence of Cooperation via Reinforcement Learning in Multiagent Systems

Prof. Zhihai Rong, Donghua University, Shanghai

 

Abstract: Evolutionary game theory provides a powerful framework to investigate the decision process and the emergence of cooperation among rational agents in populations. The learning process is the core of evolutionary game theory. The celebrated replicator dynamics characterizes agents’ strategy evolving and learning processes, and highlights the influence of selection in populations game through a continuous differential equation, whose stable equilibrium points correspond to evolutionary stable states. Multi-agent reinforcement learning is another effective computational method to study evolutionary games theory. The trial-and-error learning process in reinforcement learning is similar to the evolutionary process in biology. The classical Q-learning algorithm can built a bridge between the exploitation-exploration mechanism of reinforcement learning and the selection-mutation mechanism of evolutionary game theory. In this talk, I will analyze the nonlinear dynamics of Q-learning like algorithms through the perspective of evolutionary dynamics, and reveal the potential learning mechanism to promote the emergence of cooperation in infinite and finite populations with memory strategies, which may yield some insight into achieving cooperative machine agents and understanding the evolution of machine behavior.

 

Speaker’s Bio: Dr Zhihai Rong obtained his Bachelor and Master degrees from Harbin Institute of Technology and Ph.D degree from Shanghai Jiaotong University, all in Control Science and Engineering. He was a Hong Kong Scholar with PolyU. Now he is a professor in the Department of Automation, Donghua University, Shanghai. His research interests include complex networks, evolutionary game dynamics and mechanism design. He is the author of over 60 papers in peer reviewed scientific journals and international conferences, including IEEE Tran. CAS-II, IEEE Tran. Cybernetics, Automatica, Physical Review E, Europhysics Letters (EPL), Chaos, ISCAS and IFAC, received more than 3000 citations with h-index 29.

 

WEBINAR WEBSITE:

http://cccn.ee.cityu.edu.hk/webinar/


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