Qingfeng Lan - RankMe

23 papers A* 2A 1Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Dynamic Speculative Agent Planning. CoRR Yilin Guan, Qingfeng Lan, Sun Fei, Dujian Ding, Devang Acharya, Chi Wang, William Yang Wang, Wenyue Hua
2025	J	`jnl`	Efficient Reinforcement Learning by Reducing Forgetting with Elephant Activation Functions. CoRR Qingfeng Lan, Gautham Vasan, A. Rupam Mahmood
2024	J	`jnl`	Learning to Optimize for Reinforcement Learning. RLJ Qingfeng Lan, A. Rupam Mahmood, Shuicheng Yan, Zhongwen Xu
2024	J	`jnl`	Loss of plasticity in deep continual learning. Nat. Shibhansh Dohare, J. Fernando Hernandez-Garcia, Qingfeng Lan, Parash Rahman, A. Rupam Mahmood, Richard S. Sutton
2024	J	`jnl`	More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling. RLJ Haque Ishfaq, Yixin Tan, Yu Yang, Qingfeng Lan, Jianfeng Lu, A. Rupam Mahmood, Doina Precup, Pan Xu
2024	J	`jnl`	More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling. CoRR Haque Ishfaq, Yixin Tan, Yu Yang, Qingfeng Lan, Jianfeng Lu, A. Rupam Mahmood, Doina Precup, Pan Xu
2024	A*	`conf`	Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo. ICLR Haque Ishfaq, Qingfeng Lan, Pan Xu, A. Rupam Mahmood, Doina Precup, Anima Anandkumar, Kamyar Azizzadenesheli
2024	J	`jnl`	Weight Clipping for Deep Continual and Reinforcement Learning. RLJ Mohamed Elsayed, Qingfeng Lan, Clare Lyle, A. Rupam Mahmood
2024	J	`jnl`	Weight Clipping for Deep Continual and Reinforcement Learning. CoRR Mohamed Elsayed, Qingfeng Lan, Clare Lyle, A. Rupam Mahmood
2023	J	`jnl`	Elephant Neural Networks: Born to Be a Continual Learner. CoRR Qingfeng Lan, A. Rupam Mahmood
2023	J	`jnl`	Learning to Optimize for Reinforcement Learning. CoRR Qingfeng Lan, A. Rupam Mahmood, Shuicheng Yan, Zhongwen Xu
2023	J	`jnl`	Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation. Trans. Mach. Learn. Res. Qingfeng Lan, Yangchen Pan, Jun Luo, A. Rupam Mahmood
2023	—	`conf`	Optimizing Mesh Simplification: A Newton-Based Approach to Quadratic Error Metrics. CISP-BMEI Qingfeng Lan, Fujun Yang, Lei Yang
2023	J	`jnl`	Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo. CoRR Haque Ishfaq, Qingfeng Lan, Pan Xu, A. Rupam Mahmood, Doina Precup, Anima Anandkumar, Kamyar Azizzadenesheli
2022	J	`jnl`	Memory-efficient Reinforcement Learning with Knowledge Consolidation. CoRR Qingfeng Lan, Yangchen Pan, Jun Luo, A. Rupam Mahmood
2022	A	`conf`	Model-free Policy Learning with Reward Gradients. AISTATS Qingfeng Lan, Samuele Tosatto, Homayoon Farrahi, Rupam Mahmood
2021	J	`jnl`	Model-free Policy Learning with Reward Gradients. CoRR Qingfeng Lan, A. Rupam Mahmood
2021	J	`jnl`	Predictive Representation Learning for Language Modeling. CoRR Qingfeng Lan, Luke Kumar, Martha White, Alona Fyshe
2021	J	`jnl`	Variational Quantum Soft Actor-Critic. CoRR Qingfeng Lan
2020	A*	`conf`	Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. ICLR Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White
2020	J	`jnl`	Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. CoRR Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White
2019	J	`jnl`	Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation. CoRR Zichen Zhang, Qingfeng Lan, Lei Ding, Yue Wang, Negar Hassanpour, Russell Greiner
2018	—	`conf`	A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval. CCIR Zhou Yang, Qingfeng Lan, Jiafeng Guo, Yixing Fan, Xiaofei Zhu, Yanyan Lan, Yue Wang, Xueqi Cheng