Qingpeng Cai

According to our database, Qingpeng Cai authored at least 36 papers between 2016 and 2024.

Collaborative distances:

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

2024

Future Impact Decomposition in Request-level Recommendations.

Xiaobei Wang, Shuchang Liu, Xueliang Wang, Qingpeng Cai, Lantao Hu, Han Li, Peng Jiang, Guangming Xie

CoRR, 2024

2023

AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement.

Zhenghai Xue, Qingpeng Cai, Tianyou Zuo, Bin Yang, Lantao Hu, Peng Jiang, Kun Gai, Bo An

CoRR, 2023

KuaiSim: A Comprehensive Simulator for Recommender Systems.

Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai

CoRR, 2023

A Large Language Model Enhanced Conversational Recommender System.

Yue Feng, Shuchang Liu, Zhenghai Xue, Qingpeng Cai, Lantao Hu, Peng Jiang, Kun Gai, Fei Sun

CoRR, 2023

Multi-Task Recommendations with Reinforcement Learning.

Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai

Proceedings of the ACM Web Conference 2023, 2023

Exploration and Regularization of the Latent Action Space in Recommendation.

Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Peng Jiang, Kun Gai, Xiangyu Zhao, Yongfeng Zhang

Proceedings of the ACM Web Conference 2023, 2023

Two-Stage Constrained Actor-Critic for Short Video Recommendation.

Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai

Proceedings of the ACM Web Conference 2023, 2023

Reinforcing User Retention in a Billion Scale Short Video Recommender System.

Qingpeng Cai, Shuchang Liu, Xueliang Wang, Tianyou Zuo, Wentao Xie, Bin Yang, Dong Zheng, Peng Jiang, Kun Gai

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

KuaiSim: A Comprehensive Simulator for Recommender Systems.

Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai

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

State Regularized Policy Optimization on Data with Dynamics Shift.

Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An

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

PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement.

Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Generative Flow Network for Listwise Recommendation.

Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor.

Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Kun Gai, Bo An

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement.

Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Bo An

CoRR, 2022

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor.

Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Bo An

CoRR, 2022

Constrained Reinforcement Learning for Short Video Recommendation.

Qingpeng Cai, Ruohan Zhan, Chi Zhang, Jie Zheng, Guangwei Ding, Pinghua Gong, Dong Zheng, Peng Jiang

CoRR, 2022

2021

Exploration in policy optimization through multiple paths.

Ling Pan, Qingpeng Cai, Longbo Huang

Auton. Agents Multi Agent Syst., 2021

2020

Generator and Critic: A Deep Reinforcement Learning Approach for Slate Re-ranking in E-commerce.

Jianxiong Wei, Anxiang Zeng, Yueqiu Wu, Peng Guo, Qingsong Hua, Qingpeng Cai

CoRR, 2020

Softmax Deep Double Deterministic Policy Gradients.

Ling Pan, Qingpeng Cai, Longbo Huang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Reinforcement Learning with Dynamic Boltzmann Softmax Updates.

Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Multi-Path Policy Optimization.

Ling Pan, Qingpeng Cai, Longbo Huang

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Deterministic Value-Policy Gradients.

Qingpeng Cai, Ling Pan, Pingzhong Tang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Reinforcement Learning Driven Heuristic Optimization.

Qingpeng Cai, Will Hang, Azalia Mirhoseini, George Tucker, Jingtao Wang, Wei Wei

CoRR, 2019

Reinforcement Learning with Dynamic Boltzmann Softmax Updates.

Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang, Tie-Yan Liu

CoRR, 2019

Policy Gradients for Contextual Recommendations.

Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He

Proceedings of the World Wide Web Conference, 2019

Policy Optimization with Model-Based Explorations.

Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems.

Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Generalized deterministic policy gradient algorithms.

Qingpeng Cai, Ling Pan, Pingzhong Tang

CoRR, 2018

Rebalancing Dockless Bike Sharing Systems.

Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang

CoRR, 2018

Policy Gradients for Contextual Bandits.

Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He

CoRR, 2018

Reinforcement Mechanism Design for e-commerce.

Qingpeng Cai, Aris Filos-Ratsikas, Pingzhong Tang, Yiwei Zhang

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Ranking Mechanism Design for Price-setting Agents in E-commerce.

Qingpeng Cai, Pingzhong Tang, Yulong Zeng

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Reinforcement Mechanism Design for Fraudulent Behaviour in e-Commerce.

Qingpeng Cai, Aris Filos-Ratsikas, Pingzhong Tang, Yiwei Zhang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Multi-armed Bandit Mechanism with Private Histories.

Chang Liu, Qingpeng Cai, Yukui Zhang

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016

Mechanism Design for Personalized Recommender Systems.

Qingpeng Cai, Aris Filos-Ratsikas, Chang Liu, Pingzhong Tang

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Facility Location with Minimax Envy.

Qingpeng Cai, Aris Filos-Ratsikas, Pingzhong Tang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016