Qingfeng Lan

According to our database, Qingfeng Lan authored at least 16 papers between 2018 and 2024.

Collaborative distances:

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

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., August, 2024

Weight Clipping for Deep Continual and Reinforcement Learning.

Mohamed Elsayed, Qingfeng Lan, Clare Lyle, A. Rupam Mahmood

CoRR, 2024

More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling.

Haque Ishfaq, Yixin Tan, Yu Yang, Qingfeng Lan, Jianfeng Lu, A. Rupam Mahmood, Doina Precup, Pan Xu

CoRR, 2024

Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo.

Haque Ishfaq, Qingfeng Lan, Pan Xu, A. Rupam Mahmood, Doina Precup, Anima Anandkumar, Kamyar Azizzadenesheli

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation.

Qingfeng Lan, Yangchen Pan, Jun Luo, A. Rupam Mahmood

Trans. Mach. Learn. Res., 2023

Elephant Neural Networks: Born to Be a Continual Learner.

Qingfeng Lan, A. Rupam Mahmood

CoRR, 2023

Learning to Optimize for Reinforcement Learning.

Qingfeng Lan, A. Rupam Mahmood, Shuicheng Yan, Zhongwen Xu

CoRR, 2023

Optimizing Mesh Simplification: A Newton-Based Approach to Quadratic Error Metrics.

Qingfeng Lan, Fujun Yang, Lei Yang

Proceedings of the 16th International Congress on Image and Signal Processing, 2023

2022

Memory-efficient Reinforcement Learning with Knowledge Consolidation.

Qingfeng Lan, Yangchen Pan, Jun Luo, A. Rupam Mahmood

CoRR, 2022

Model-free Policy Learning with Reward Gradients.

Qingfeng Lan, Samuele Tosatto, Homayoon Farrahi, Rupam Mahmood

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Variational Quantum Soft Actor-Critic.

Qingfeng Lan

CoRR, 2021

Predictive Representation Learning for Language Modeling.

Qingfeng Lan, Luke Kumar, Martha White, Alona Fyshe

CoRR, 2021

Model-free Policy Learning with Reward Gradients.

Qingfeng Lan, A. Rupam Mahmood

CoRR, 2021

2020

Maxmin Q-learning: Controlling the Estimation Bias of Q-learning.

Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation.

Zichen Zhang, Qingfeng Lan, Lei Ding, Yue Wang, Negar Hassanpour, Russell Greiner

CoRR, 2019

2018

A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval.

Zhou Yang, Qingfeng Lan, Jiafeng Guo, Yixing Fan, Xiaofei Zhu, Yanyan Lan, Yue Wang, Xueqi Cheng

Proceedings of the Information Retrieval - 24th China Conference, 2018