Qingfeng Lan

3 papers · 2020–2024 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

ICLR (2) AISTATS (1)

Top co-authors

Samuele Tosatto (1) Doina Precup (1) Martha White (1) Pan Xu (1) A. Rupam Mahmood (1) Homayoon Farrahi (1) Anima Anandkumar (1) Kamyar Azizzadenesheli (1) Yangchen Pan (1) Haque Ishfaq (1)

Research topics

Machine Learning (3) Reinforcement Learning (3) Methods (3) Learning Types (2) Bayesian & Probabilistic (1) Optimization & Theory (1)

Keywords

reinforcement learning (1) sample efficiency (1) policy gradient (1) convergence analysis (1) markov chain monte carlo (1) thompson sampling (1) regret bound (1) unbiased estimation (1) proximal policy optimization (1) langevin monte carlo (1) linear markov decision process (1) model-free learning (1) overestimation bia (1) reward gradient (1)

Papers

Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo ICLR 2024 Model-free Policy Learning with Reward Gradients AISTATS 2022 Maxmin Q-learning: Controlling the Estimation Bias of Q-learning ICLR 2020