A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval. - Zhou Yang 012; Qingfeng Lan; Jiafeng Guo; Yixing Fan; Xiaofei Zhu; Yanyan Lan; Yue Wang; Xueqi Cheng (CCIR, 2018)

Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation. - Zichen Zhang 001; Qingfeng Lan; Lei Ding; Yue Wang; Negar Hassanpour; Russell Greiner (CoRR, 2019)

Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. - Qingfeng Lan; Yangchen Pan; Alona Fyshe; Martha White (ICLR, 2020)

Model-free Policy Learning with Reward Gradients. - Qingfeng Lan; A. Rupam Mahmood (CoRR, 2021)

Predictive Representation Learning for Language Modeling. - Qingfeng Lan; Luke Kumar; Martha White; Alona Fyshe (CoRR, 2021)

Variational Quantum Soft Actor-Critic. - Qingfeng Lan (CoRR, 2021)

Model-free Policy Learning with Reward Gradients. - Qingfeng Lan; Samuele Tosatto; Homayoon Farrahi; Rupam Mahmood (AISTATS, 2022)

Memory-efficient Reinforcement Learning with Knowledge Consolidation. - Qingfeng Lan; Yangchen Pan; Jun Luo 009; A. Rupam Mahmood (CoRR, 2022)

Optimizing Mesh Simplification: A Newton-Based Approach to Quadratic Error Metrics. - Qingfeng Lan; Fujun Yang; Lei Yang (CISP-BMEI, 2023)

Elephant Neural Networks: Born to Be a Continual Learner. - Qingfeng Lan; A. Rupam Mahmood (CoRR, 2023)

Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation. - Qingfeng Lan; Yangchen Pan; Jun Luo 009; A. Rupam Mahmood (Trans. Mach. Learn. Res., 2023)

Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo. - Haque Ishfaq; Qingfeng Lan; Pan Xu 002; A. Rupam Mahmood; Doina Precup; Anima Anandkumar; Kamyar Azizzadenesheli (ICLR, 2024)

Weight Clipping for Deep Continual and Reinforcement Learning. - Mohamed Elsayed 003; Qingfeng Lan; Clare Lyle; A. Rupam Mahmood (RLJ, 2024)

More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling. - Haque Ishfaq; Yixin Tan; Yu Yang 001; Qingfeng Lan; Jianfeng Lu; A. Rupam Mahmood; Doina Precup; Pan Xu 002 (RLJ, 2024)

Learning to Optimize for Reinforcement Learning. - Qingfeng Lan; A. Rupam Mahmood; Shuicheng Yan; Zhongwen Xu (RLJ, 2024)

Loss of plasticity in deep continual learning. - Shibhansh Dohare; J. Fernando Hernandez-Garcia; Qingfeng Lan; Parash Rahman; A. Rupam Mahmood; Richard S. Sutton (Nat., 2024)