Qingfeng Lan

According to our database1, Qingfeng Lan authored at least 13 papers between 2018 and 2023.

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Bibliography

2023
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation.
Trans. Mach. Learn. Res., 2023

Elephant Neural Networks: Born to Be a Continual Learner.
CoRR, 2023

Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo.
CoRR, 2023

Learning to Optimize for Reinforcement Learning.
CoRR, 2023

Optimizing Mesh Simplification: A Newton-Based Approach to Quadratic Error Metrics.
Proceedings of the 16th International Congress on Image and Signal Processing, 2023

2022
Memory-efficient Reinforcement Learning with Knowledge Consolidation.
CoRR, 2022

Model-free Policy Learning with Reward Gradients.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Variational Quantum Soft Actor-Critic.
CoRR, 2021

Predictive Representation Learning for Language Modeling.
CoRR, 2021

Model-free Policy Learning with Reward Gradients.
CoRR, 2021

2020
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation.
CoRR, 2019

2018
A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval.
Proceedings of the Information Retrieval - 24th China Conference, 2018


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