Rong-Jun Qin

Researcher, Polixir

Joined

May 2021

Names

Rong-Jun Qin (Preferred)

Emails

****@lamda.nju.edu.cn (Confirmed)

Personal Links

Career & Education History

Researcher

Polixir (polixir.ai)

2023 – Present

PhD student

Nanjing University (nju.edu.cn)

2018 – 2023

MS student

Nanjing University (nju.edu.cn)

2016 – 2018

Advisors, Relations & Conflicts

No relations added

Expertise

reinforcement learning

2016 – 2023

multiagent learning

2016 – 2023

Publications

Efficient Multi-Agent Cooperation Learning through Teammate Lookahead
Feng Chen, Xinwei Chen, Rong-Jun Qin, Cong Guan, Lei Yuan, Zongzhang Zhang, Yang Yu
- Accepted by TMLR
- Readers: Everyone
Adversarial Counterfactual Environment Model Learning
Xiong-Hui Chen, Yang Yu, Zhengmao Zhu, ZhiHua Yu, Chen Zhenjun, Chenghe Wang, Yinan Wu, Rong-Jun Qin, Hongqiu Wu, Ruijin Ding, Huang Fangsheng
- NeurIPS 2023 spotlight
- Readers: Everyone
Scaling Multi-Objective Security Games Provably via Space Discretization Based Evolutionary Search
Yu-Peng Wu, Hong Qian, Rong-Jun Qin, Yi Chen, Aimin Zhou
- 2023 (modified: 19 Apr 2023)
- CoRR 2023
- Readers: Everyone
Multi-Agent Policy Transfer via Task Relationship Modeling
Rong-Jun Qin, Feng Chen, Tonghan Wang, Lei Yuan, Xiaoran Wu, Yipeng Kang, Zongzhang Zhang, Chongjie Zhang, Yang Yu
- 08 Oct 2022 (modified: 08 Feb 2026)
- Deep RL Workshop 2022
- Readers: Everyone
Multi-Agent Policy Transfer via Task Relationship Modeling
Rong-Jun Qin, Feng Chen, Tonghan Wang, Lei Yuan, Xiaoran Wu, Yipeng Kang, Zongzhang Zhang, Chongjie Zhang, Yang Yu
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- Submitted to ICLR 2023
- Readers: Everyone
Adversarial Counterfactual Environment Model Learning
Xiong-Hui Chen, Yang Yu, Zhengmao Zhu, ZhiHua Yu, Chen Zhenjun, Chenghe Wang, Yinan Wu, Hongqiu Wu, Rong-Jun Qin, Ruijin Ding, Huang Fangsheng
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- Submitted to ICLR 2023
- Readers: Everyone
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
Rong-Jun Qin, Xingyuan Zhang, Songyi Gao, Xiong-Hui Chen, Zewen Li, Weinan Zhang, Yang Yu
- Published: 17 Sept 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Datasets and Benchmarks
- Readers: Everyone
Adversarial Counterfactual Environment Model Learning
Xiong-Hui Chen, Yang Yu, Zheng-Mao Zhu, Zhihua Yu, Zhenjun Chen, Chenghe Wang, Yinan Wu, Hongqiu Wu, Rong-Jun Qin, Ruijin Ding, Fangsheng Huang
- 2022 (modified: 19 Apr 2023)
- CoRR 2022
- Readers: Everyone
Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games
Rong-Jun Qin, Fan-Ming Luo, Hong Qian, Yang Yu
- 2022 (modified: 19 Apr 2023)
- CoRR 2022
- Readers: Everyone
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
Rong-Jun Qin, Xingyuan Zhang, Songyi Gao, Zhen Xu, Shengkai Huang, Zewen Li, Weinan Zhang, Yang Yu
- 08 Jun 2021 (modified: 26 May 2025)
- Submitted to NeurIPS 2021 Datasets and Benchmarks Track (Round 1)
- Readers: Everyone

View all 11 publications

Co-Authors

View all 35 co-authors