Research Presentation


Innate-Values-Driven Reinforcement Learning Based Cognitive Modeling

Innate values describe agents’ intrinsic motivations, which reflect their inherent interests and preferences to pursue goals and drive them to develop diverse skills satisfying their various needs. [2025 IEEE CogSIMA | 06/05/2025]


Edge Computing based Human-Robot Cognitive Fusion: A Medical Case Study in the Autism Spectrum Disorder Therapy

People with ASD usually have problems with social communication, regular interaction, and restricted or repetitive behaviors or interests. Robot-assisted therapy (RAT) is an emerging field that has attracted many researchers to study and benefited children with ASD. [2025 IEEE CogSIMA | 06/05/2025]


Bayesian Soft Actor-Critic: A Directed Acyclic Strategy Graph Based Deep Reinforcement Learning

A strategy describes the general plan of an agent achieving short-term or long-term goals under uncertainty, which involves setting sub-goals and priorities, determining action se- quences to fulfill the tasks, and mobilizing resources to execute the actions. [TIST Paper | 01/24/2024]


A Hierarchical Game-Theoretic Decision-Making for Cooperative Multiagent Systems Under the Presence of Adversarial Agents

This research proposes a new network model called the Game-Theoretic Utility Tree (GUT), combining the core principles of game theory and utility theory to achieve cooperative decision-making for MAS in adversarial environments. [SAC Paper | 03/28/2023]

Talks


Hierarchical Needs-driven Self-adaptive Multi-Agent Systems: From Individual Utilities to Swarm Intelligence

I was invited by the Cognitive Robotics and AI Lab (CRAI) in the College of Aeronautics and Engineering at Kent State University to give a talk about my current research on AI and Robotics. [Invited Talk | 06/06/2023]


The Latest Theories and Future Applications in Deep Reinforcement Learning of Multi-Agent/Robot Systems

I was invited by the Intelligent Manufacturing and Systems Laboratory in the Department of Mechanical Engineering at the University of Louisiana at Lafayette to give a talk about my current research on Deep Reinforcement Learning and Multi-Agent/Robot Systems. [Invited Talk | 05/14/2024]

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