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2020 – today
- 2024
[j5]Qingfeng Lan, A. Rupam Mahmood, Shuicheng Yan, Zhongwen Xu:
Learning to Optimize for Reinforcement Learning. RLJ 2: 481-497 (2024)- [j4]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. RLJ 3: 1211-1235 (2024) - [j3]Mohamed Elsayed, Qingfeng Lan, Clare Lyle, A. Rupam Mahmood:
Weight Clipping for Deep Continual and Reinforcement Learning. RLJ 5: 2198-2217 (2024) - [j2]Shibhansh Dohare
, J. Fernando Hernandez-Garcia, Qingfeng Lan, Parash Rahman, A. Rupam Mahmood, Richard S. Sutton:
Loss of plasticity in deep continual learning. Nat. 632(8026): 768-774 (2024) - [c5]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 - [i11]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 abs/2406.12241 (2024) - [i10]Mohamed Elsayed, Qingfeng Lan, Clare Lyle, A. Rupam Mahmood:
Weight Clipping for Deep Continual and Reinforcement Learning. CoRR abs/2407.01704 (2024) - 2023
- [j1]Qingfeng Lan, Yangchen Pan, Jun Luo, A. Rupam Mahmood:
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation. Trans. Mach. Learn. Res. 2023 (2023) - [c4]Qingfeng Lan, Fujun Yang, Lei Yang:
Optimizing Mesh Simplification: A Newton-Based Approach to Quadratic Error Metrics. CISP-BMEI 2023: 1-7 - [i9]Qingfeng Lan, A. Rupam Mahmood, Shuicheng Yan, Zhongwen Xu:
Learning to Optimize for Reinforcement Learning. CoRR abs/2302.01470 (2023) - [i8]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 abs/2305.18246 (2023) - [i7]Qingfeng Lan, A. Rupam Mahmood:
Elephant Neural Networks: Born to Be a Continual Learner. CoRR abs/2310.01365 (2023) - 2022
- [c3]Qingfeng Lan, Samuele Tosatto, Homayoon Farrahi, Rupam Mahmood:
Model-free Policy Learning with Reward Gradients. AISTATS 2022: 4217-4234 - [i6]Qingfeng Lan, Yangchen Pan, Jun Luo, A. Rupam Mahmood:
Memory-efficient Reinforcement Learning with Knowledge Consolidation. CoRR abs/2205.10868 (2022) - 2021
- [i5]Qingfeng Lan, A. Rupam Mahmood:
Model-free Policy Learning with Reward Gradients. CoRR abs/2103.05147 (2021) - [i4]Qingfeng Lan, Luke Kumar, Martha White, Alona Fyshe:
Predictive Representation Learning for Language Modeling. CoRR abs/2105.14214 (2021) - [i3]Qingfeng Lan:
Variational Quantum Soft Actor-Critic. CoRR abs/2112.11921 (2021) - 2020
- [c2]Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White:
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. ICLR 2020 - [i2]Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White:
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. CoRR abs/2002.06487 (2020)
2010 – 2019
- 2019
- [i1]Zichen Zhang, Qingfeng Lan, Lei Ding, Yue Wang, Negar Hassanpour, Russell Greiner:
Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation. CoRR abs/1912.09040 (2019) - 2018
- [c1]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: 16-27
Coauthor Index
aka: Rupam Mahmood
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