Rex Liu Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

John Brown University

grad_student

3 pubs

Research Areas

Reinforcement Learning in Robotics Adaptive Dynamic Programming Control Semantic Web and Ontologies

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OverviewAI-generated summary

Rex Liu is a graduate student at John Brown University whose research centers on reinforcement learning, particularly its applications in robotics and control systems. His work explores how agents can learn optimal behaviors through interaction with complex environments. Recent publications have investigated the stability of deep distributional reinforcement learning methods, as well as methods for agents to generalize task structures. Liu also researches adaptive dynamic programming control and the use of semantic web technologies and ontologies in intelligent systems.

Metrics

Publications: 3

Selected Publications

On the Relative Stability of Deep Distributional Reinforcement Learning (2023) DOI
Taxonomizing the Computational Demands of Videos Games for Deep Reinforcement Learning Agents (2022) DOI
Compositionally generalizing task structures through hierarchical clustering (2022) DOI