Qingfeng Lan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Function Approximation

Language Modeling

Reinforcement Learning

Top Venues

Publications

Haque Ishfaq, Yixin Tan, Yu Yang, Qingfeng Lan, Jianfeng Lu, A. Rupam Mahmood, Doina Precup, Pan Xu
More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling. CoRR (2024)
Haque Ishfaq, Qingfeng Lan, Pan Xu, A. Rupam Mahmood, Doina Precup, Anima Anandkumar, Kamyar Azizzadenesheli
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo. ICLR (2024)
Mohamed Elsayed, Qingfeng Lan, Clare Lyle, A. Rupam Mahmood
Weight Clipping for Deep Continual and Reinforcement Learning. CoRR (2024)
Qingfeng Lan, A. Rupam Mahmood, Shuicheng Yan, Zhongwen Xu
Learning to Optimize for Reinforcement Learning. CoRR (2023)
Qingfeng Lan, Fujun Yang, Lei Yang
Optimizing Mesh Simplification: A Newton-Based Approach to Quadratic Error Metrics. CISP-BMEI (2023)
Haque Ishfaq, Qingfeng Lan, Pan Xu, A. Rupam Mahmood, Doina Precup, Anima Anandkumar, Kamyar Azizzadenesheli
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo. CoRR (2023)
Qingfeng Lan, A. Rupam Mahmood
Elephant Neural Networks: Born to Be a Continual Learner. CoRR (2023)
Qingfeng Lan, Yangchen Pan, Jun Luo, A. Rupam Mahmood
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation. Trans. Mach. Learn. Res. 2023 (2023)
Qingfeng Lan, Yangchen Pan, Jun Luo, A. Rupam Mahmood
Memory-efficient Reinforcement Learning with Knowledge Consolidation. CoRR (2022)
Qingfeng Lan, Samuele Tosatto, Homayoon Farrahi, Rupam Mahmood
Model-free Policy Learning with Reward Gradients. AISTATS (2022)
Qingfeng Lan
Variational Quantum Soft Actor-Critic. CoRR (2021)
Qingfeng Lan, A. Rupam Mahmood
Model-free Policy Learning with Reward Gradients. CoRR (2021)
Qingfeng Lan, Luke Kumar, Martha White, Alona Fyshe
Predictive Representation Learning for Language Modeling. CoRR (2021)
Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. CoRR (2020)
Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. ICLR (2020)
Zichen Zhang, Qingfeng Lan, Lei Ding, Yue Wang, Negar Hassanpour, Russell Greiner
Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation. CoRR (2019)
Zhou Yang, Qingfeng Lan, Jiafeng Guo, Yixing Fan, Xiaofei Zhu, Yanyan Lan, Yue Wang, Xueqi Cheng
A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval. CCIR (2018)