The person behind the papers

Hello, I'm Guozheng.

I am a PhD student at Nanyang Technological University, working under the supervision of Dacheng Tao. Previously I completed my master's studies and began my research journey at Tsinghua University. Earlier, I obtained my bachelor's degree at Hunan University, where I cherished four wonderful years at the foothills of Yuelu Mountain.

My research goal is to unlock the true potential of Deep Reinforcement Learning toward practical real-world deployment. This requires RL agents capable of offline-online cooperation, handling multiple tasks, and never stopping learning in open-ended environments. To realize this vision, I currently focus on investigating the fundamental challenges inherent in DRL — particularly optimization pathologies, scalability limitations, and exploration inefficiencies.

Meanwhile, I view RL as a paradigm for understanding and developing intelligence rather than just a technique. This inspires my interest in exploring its potential across domains — from large reasoning models and embodied agents to psychology and social sciences.

Trajectory

Undergraduate studies

Hunan University

Bachelor's degree

Graduate studies

Tsinghua University

Master's degree · Research journey began

2024–present

Nanyang Technological University

PhD student · Advised by Dacheng Tao

Updates

2026

Feb · paper

Released What Makes Value Learning Efficient in Residual Reinforcement Learning? · ICML 2026 spotlight, top 2.2%

2025

May · paper

Two papers accepted at ICML 2025, on online RL and multi-task DT · Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning selected for an oral, top 1%

2024

Aug · milestone

Started my PhD at Nanyang Technological University, Singapore

May · award

Received the ICLR Financial Assistance Award

2023

Dec · paper

Our work on generalization in visual RL selected for an oral presentation at AAMAS 2024

Jul · honor

Named an AI Safety and Alignment Fellow by Concordia AI

2022

Oct · paper

Released the first preprint of the survey on data augmentation in visual RL

Apr · paper

TLDA accepted at IJCAI 2022

Awards

Talks

Service