Rong-Jun Qin

According to our database, Rong-Jun Qin authored at least 7 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

NeoRL-2: Near Real-World Benchmarks for Offline Reinforcement Learning with Extended Realistic Scenarios.

Songyi Gao, Zuolin Tu, Rong-Jun Qin, Yi-Hao Sun, Xiong-Hui Chen, Yang Yu

CoRR, March, 2025

Efficient Multi-Agent Cooperation Learning through Teammate Lookahead.

Feng Chen, Xinwei Chen, Rong-Jun Qin, Cong Guan, Lei Yuan, Zongzhang Zhang, Yang Yu

Trans. Mach. Learn. Res., 2025

Provable space discretization based evolutionary search for scalable multi-objective security games.

Hong Qian, Yu-Peng Wu, Rong-Jun Qin, Xin An, Yi Chen, Aimin Zhou

Swarm Evol. Comput., 2025

2023

Scaling Multi-Objective Security Games Provably via Space Discretization Based Evolutionary Search.

Yu-Peng Wu, Hong Qian, Rong-Jun Qin, Yi Chen, Aimin Zhou

CoRR, 2023

Adversarial Counterfactual Environment Model Learning.

Xiong-Hui Chen, Yang Yu, Zhengmao Zhu, Zhihua Yu, Zhenjun Chen, Chenghe Wang, Yinan Wu, Rong-Jun Qin, Hongqiu Wu, Ruijin Ding, Fangsheng Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games.

Rong-Jun Qin, Fan-Ming Luo, Hong Qian, Yang Yu

CoRR, 2022

2019

Improving Fictitious Play Reinforcement Learning with Expanding Models.

Rong-Jun Qin, Jing-Cheng Pang, Yang Yu

CoRR, 2019