Yingru Li

4 papers · 2019–2024 · 4 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

AISTATS (1) ICLR (1) ICML (1) NeurIPS (1)

Top co-authors

Tong Zhang (2) Zhi-Quan Luo (2) Qing Wang (1) Ziniu Li (1) Yushun Zhang (1) Jiawei Xu (1) Zhiquan Luo (1) Lei Han (1) Jiechao Xiong (1)

Research topics

Machine Learning (3) Reinforcement Learning (3) Methods (3) Learning Types · Machine Learning (2) Optimization & Theory (2) Artificial Intelligence (1) Deep Learning (1) Core AI (1) Learning Paradigms (1) Learning Types · Deep Learning (1)

Keywords

posterior sampling (3) deep reinforcement learning (2) randomized exploration (2) function approximation (2) variance reduction (1) off-policy learning (1) action-value function (1) bayesian regret (1) regret (1) linear mixture mdp (1) value-targeted model (1) bayesian regret bound (1) off-policy data (1) hypermodel (1) meta learning (1) tabular assumptions (1) reinforcement learning (1) policy optimization (1) bregman divergence (1)

Papers

Prior-dependent analysis of posterior sampling reinforcement learning with function approximation AISTATS 2024 Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent ICML 2024 HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning ICLR 2022 Divergence-Augmented Policy Optimization NeurIPS 2019