AZ
Andrea Zanette
cs.LGstat.MLcs.AIcs.CLcs.CV
On Valency
published · living versionsW_s6bdne4e·v1 · currentpublished
Training Foundation Models with a Single Algorithm
with Yuda Song, Alvin Zhang, Fahim Tajwar, Daman Arora +5
1 version
W_76g2wzra·v1published
Preprints & journals
31 papers in the corpus · 2018–2026Training Language Models to Fail Gracefully2610.20401v1 · Daman Arora, Xuecheng Liu, Himanshu Gaurav Singh et al.2026 · 0 citationsarXiv
Anchors Enhance Controllability and Reasoning of Diffusion Language Models2610.15097v1 · Feiyu Qu, Zheng Huang, Andrea Zanette2026 · 0 citationsarXiv
SLVR: Structured Latent Visual Reasoning via Human-like Reasoning Flows2610.10563v2 · Albert Gao, Bing Xue, Andrea Zanette2026 · 0 citationsarXiv
Schema: Discovering Unknown Environments via Agentic Program Induction2609.39140v1 · Guanning Zeng, Jiani Wang, Wenjie Ma et al.2026 · 0 citationsarXiv
Harness Learning Enables Generalizable Test-Time Adaptation2609.35738v1 · Alvin Zhang, Xuecheng Liu, Zixuan Wang et al.2026 · 0 citationsarXiv
Tail-Likelihood Reinforcement Learning2609.02987v2 · Shrinivas Ramasubramanian, Daman Arora, Fahim Tajwar et al.2026 · 0 citationsarXiv
Message Passing Enables Efficient Reasoning2607.01077v3 · Xuecheng Liu, Daman Arora, Gokul Swamy et al.2026 · 0 citationsarXiv
Expanding the Capabilities of Reinforcement Learning via Text Feedback2602.02482v2 · Yuda Song, Lili Chen, Fahim Tajwar et al.2026 · 0 citationsarXiv
Maximum Likelihood Reinforcement Learning2602.02710v3 · Fahim Tajwar, Guanning Zeng, Yueer Zhou et al.2026 · 0 citationsarXiv
Shrinking the Variance: Shrinkage Baselines for Reinforcement Learning with Verifiable Rewards2511.03710v2 · Guanning Zeng, Zhaoyi Zhou, Daman Arora et al.2025 · 0 citationsarXiv
SPEED-RL: Faster Training of Reasoning Models via Online Curriculum Learning2506.09016v3 · Ruiqi Zhang, Daman Arora, Song Mei et al.2025 · 0 citationsarXiv
Can Large Reasoning Models Self-Train?2505.21444v2 · Sheikh Shafayat, Fahim Tajwar, Ruslan Salakhutdinov et al.2025 · 0 citationsarXiv
Accelerating Unbiased LLM Evaluation via Synthetic Feedback2502.10563v2 · Zhaoyi Zhou, Yuda Song, Andrea Zanette2025 · 0 citationsarXiv
Training Language Models to Reason Efficiently2502.04463v4 · Daman Arora, Andrea Zanette2025 · 2 citationsarXiv
Fast Best-of-N Decoding via Speculative Rejection2410.20290v2 · Hanshi Sun, Momin Haider, Ruiqi Zhang et al.2024 · 1 citationarXiv
ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL2402.19446v1 · Yifei Zhou, Andrea Zanette, Jiayi Pan et al.2024 · 2 citationsarXiv
Is Offline Decision Making Possible with Only Few Samples? Reliable Decisions in Data-Starved Bandits via Trust Region Enhancement2402.15703v1 · Ruiqi Zhang, Yuexiang Zhai, Andrea Zanette2024 · 0 citationsarXiv
Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data2307.04354v1 · Ruiqi Zhang, Andrea Zanette2023 · 0 citationsarXiv
When is Realizability Sufficient for Off-Policy Reinforcement Learning?2211.05311v2 · Andrea Zanette2022 · 0 citationsarXiv
Stabilizing Q-learning with Linear Architectures for Provably Efficient Learning2206.00796v1 · Andrea Zanette, Martin J. Wainwright2022 · 0 citationsarXiv
Bellman Residual Orthogonalization for Offline Reinforcement Learning2203.12786v3 · Andrea Zanette, Martin J. Wainwright2022 · 0 citationsarXiv
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning2108.08812v1 · Andrea Zanette, Martin J. Wainwright, Emma Brunskill2021 · 19 citationsarXiv
Design of Experiments for Stochastic Contextual Linear Bandits2107.09912v2 · Andrea Zanette, Kefan Dong, Jonathan Lee et al.2021 · 5 citationsarXiv
Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation2103.12923v2 · Andrea Zanette, Ching-An Cheng, Alekh Agarwal2021 · 5 citationsarXiv
Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL2012.08005v4 · Andrea Zanette2020 · 18 citationsarXiv
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration2008.07737v2 · Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer et al.2020 · 15 citationsarXiv
Learning Near Optimal Policies with Low Inherent Bellman Error2003.00153v3 · Andrea Zanette, Alessandro Lazaric, Mykel Kochenderfer et al.2020 · 62 citationsarXiv
Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs1911.00954v1 · Andrea Zanette, Emma Brunskill2019 · 6 citationsInternational Conference on Machine Learning, 2018
Frequentist Regret Bounds for Randomized Least-Squares Value Iteration1911.00567v7 · Andrea Zanette, David Brandfonbrener, Emma Brunskill et al.2019 · 17 citationsarXiv
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds1901.00210v4 · Andrea Zanette, Emma Brunskill2019 · 64 citationsInternational Conference on Machine Learning 2019
Robust Super-Level Set Estimation using Gaussian Processes1811.09977v1 · Andrea Zanette, Junzi Zhang, Mykel J. Kochenderfer2018 · 20 citationsarXiv
Career total: 46 works. 31 are in this corpus.
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