Min Zhang

PhD student, Tianjin University

Joined

May 2022

Names

Min Zhang (Preferred)

Zm TJU

Emails

****@tju.edu.cn (Confirmed)

****@hotmail.com (Confirmed)

Personal Links

DBLP

ORCID

Career & Education History

PhD student

Tianjin University (tju.edu.cn)

2020 – 2026

MS student

Hebei University of Technology (hebut.edu.cn)

2017 – 2020

Advisors, Relations & Conflicts

Coauthor

Hongyao Tang

2020 – 2024

Expertise

Embodied Artificial Intelligence

Present

Embodied Navigation

Present

Deep Reinforcement Learning

Present

Publications

DDCG: Decoupled Dual-Critic Guidance for Embodied Agents
Shaojin Ma, Min Zhang, Hongyao Tang, Jianye HAO, YAN ZHENG
- LAW
- Readers: Everyone
HuLE-Nav: Human-Like Exploration for Zero-Shot Object Navigation via Vision-Language Models
Peilong Han, Min Zhang, Jianye HAO, Hongyao Tang, YAN ZHENG
- NeurIPS 2024 Workshop on Behavioral ML
- Readers: Everyone
What can VLMs Do for Zero-shot Embodied Task Planning?
Xian Fu, Min Zhang, Jianye HAO, Peilong Han, Hao Zhang, Lei Shi, Hongyao Tang
- ICML 2024 Workshop on LLMs and Cognition Poster
- Readers: Everyone
What can VLMs Do for Zero-shot Embodied Task Planning?
Xian Fu, Min Zhang, Jianye HAO, Peilong Han, Hao Zhang, Lei Shi, Hongyao Tang
- MFM-EAI@ICML2024 Poster
- Readers: Everyone
The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space
Hongyao Tang, Min Zhang, Chen Chen, Jianye HAO
- NeurIPS 2024 poster
- Readers: Everyone
Improving Sample Efficiency in Off-policy RL with Low-dimensional Policy Representation
Min Zhang, Jianye HAO, Hongyao Tang, YAN ZHENG
- Submitted to ICLR 2024
- Readers: Everyone
Boosting Off-policy RL with Policy Representation and Policy-extended Value Function Approximator
Min Zhang, Jianye HAO, Hongyao Tang, YAN ZHENG
- Frontiers4LCD
- Readers: Everyone
The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting
Hongyao Tang, Min Zhang, Jianye Hao
- 2023 (modified: 17 Apr 2023)
- CoRR 2023
- Readers: Everyone
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes
Min Zhang, Hongyao Tang, Jianye HAO, YAN ZHENG
- 08 Oct 2022 (modified: 05 May 2023)
- Deep RL Workshop 2022
- Readers: Everyone
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes
Min Zhang, Hongyao Tang, Jianye HAO, YAN ZHENG
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone

View all 13 publications

Min Zhang

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors