Andrea Zanette

42 papers A* 17A 1Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Expanding the Capabilities of Reinforcement Learning via Text Feedback. CoRR Yuda Song, Lili Chen, Fahim Tajwar, Rémi Munos, Deepak Pathak, J. Andrew Bagnell, Aarti Singh, Andrea Zanette
2026	J	`jnl`	Maximum Likelihood Reinforcement Learning. CoRR Fahim Tajwar, Guanning Zeng, Yueer Zhou, Yuda Song, Daman Arora, Yiding Jiang, Jeff G. Schneider, Ruslan Salakhutdinov, Haiwen Feng, Andrea Zanette
2025	A*	`conf`	Accelerating Unbiased LLM Evaluation via Synthetic Feedback. ICML Zhaoyi Zhou, Yuda Song, Andrea Zanette
2025	J	`jnl`	Accelerating Unbiased LLM Evaluation via Synthetic Feedback. CoRR Zhaoyi Zhou, Yuda Song, Andrea Zanette
2025	J	`jnl`	Can Large Reasoning Models Self-Train? CoRR Sheikh Shafayat, Fahim Tajwar, Ruslan Salakhutdinov, Jeff G. Schneider, Andrea Zanette
2025	J	`jnl`	Shrinking the Variance: Shrinkage Baselines for Reinforcement Learning with Verifiable Rewards. CoRR Guanning Zeng, Zhaoyi Zhou, Daman Arora, Andrea Zanette
2025	J	`jnl`	Training Language Models to Reason Efficiently. CoRR Daman Arora, Andrea Zanette
2024	A*	`conf`	ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL. ICML Yifei Zhou, Andrea Zanette, Jiayi Pan, Sergey Levine, Aviral Kumar
2024	J	`jnl`	ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL. CoRR Yifei Zhou, Andrea Zanette, Jiayi Pan, Sergey Levine, Aviral Kumar
2024	A*	`conf`	Fast Best-of-N Decoding via Speculative Rejection. NeurIPS Hanshi Sun, Momin Haider, Ruiqi Zhang, Huitao Yang, Jiahao Qiu, Ming Yin, Mengdi Wang, Peter L. Bartlett, Andrea Zanette
2024	J	`jnl`	Fast Best-of-N Decoding via Speculative Rejection. CoRR Hanshi Sun, Momin Haider, Ruiqi Zhang, Huitao Yang, Jiahao Qiu, Ming Yin, Mengdi Wang, Peter L. Bartlett, Andrea Zanette
2024	J	`jnl`	Is Offline Decision Making Possible with Only Few Samples? Reliable Decisions in Data-Starved Bandits via Trust Region Enhancement. CoRR Ruiqi Zhang, Yuexiang Zhai, Andrea Zanette
2023	A*	`conf`	Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data. NeurIPS Ruiqi Zhang, Andrea Zanette
2023	J	`jnl`	Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data. CoRR Ruiqi Zhang, Andrea Zanette
2023	A*	`conf`	When is Realizability Sufficient for Off-Policy Reinforcement Learning? ICML Andrea Zanette
2022	A*	`conf`	Bellman Residual Orthogonalization for Offline Reinforcement Learning. NeurIPS Andrea Zanette, Martin J. Wainwright
2022	J	`jnl`	Bellman Residual Orthogonalization for Offline Reinforcement Learning. CoRR Andrea Zanette, Martin J. Wainwright
2022	A*	`conf`	Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning. ICML Andrea Zanette, Martin J. Wainwright
2022	J	`jnl`	Stabilizing Q-learning with Linear Architectures for Provably Efficient Learning. CoRR Andrea Zanette, Martin J. Wainwright
2022	J	`jnl`	When is Realizability Sufficient for Off-Policy Reinforcement Learning? CoRR Andrea Zanette
2021	A*	`conf`	Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation. COLT Andrea Zanette, Ching-An Cheng, Alekh Agarwal
2021	J	`jnl`	Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation. CoRR Andrea Zanette, Ching-An Cheng, Alekh Agarwal
2021	A*	`conf`	Design of Experiments for Stochastic Contextual Linear Bandits. NeurIPS Andrea Zanette, Kefan Dong, Jonathan N. Lee, Emma Brunskill
2021	J	`jnl`	Design of Experiments for Stochastic Contextual Linear Bandits. CoRR Andrea Zanette, Kefan Dong, Jonathan N. Lee, Emma Brunskill
2021	A*	`conf`	Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL. ICML Andrea Zanette
2021	A*	`conf`	Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning. NeurIPS Andrea Zanette, Martin J. Wainwright, Emma Brunskill
2021	J	`jnl`	Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning. CoRR Andrea Zanette, Martin J. Wainwright, Emma Brunskill
2020	J	`jnl`	Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL. CoRR Andrea Zanette
2020	A	`conf`	Frequentist Regret Bounds for Randomized Least-Squares Value Iteration. AISTATS Andrea Zanette, David Brandfonbrener, Emma Brunskill, Matteo Pirotta, Alessandro Lazaric
2020	A*	`conf`	Learning Near Optimal Policies with Low Inherent Bellman Error. ICML Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill
2020	J	`jnl`	Learning Near Optimal Policies with Low Inherent Bellman Error. CoRR Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill
2020	A*	`conf`	Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration. NeurIPS Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill
2020	J	`jnl`	Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration. CoRR Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill
2019	A*	`conf`	Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model. NeurIPS Andrea Zanette, Mykel J. Kochenderfer, Emma Brunskill
2019	J	`jnl`	Frequentist Regret Bounds for Randomized Least-Squares Value Iteration. CoRR Andrea Zanette, David Brandfonbrener, Matteo Pirotta, Alessandro Lazaric
2019	A*	`conf`	Limiting Extrapolation in Linear Approximate Value Iteration. NeurIPS Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill
2019	J	`jnl`	Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs. CoRR Andrea Zanette, Emma Brunskill
2019	A*	`conf`	Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds. ICML Andrea Zanette, Emma Brunskill
2019	J	`jnl`	Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds. CoRR Andrea Zanette, Emma Brunskill
2018	A*	`conf`	Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs. ICML Andrea Zanette, Emma Brunskill
2018	—	`conf`	Robust Super-Level Set Estimation Using Gaussian Processes. ECML/PKDD (2) Andrea Zanette, Junzi Zhang, Mykel J. Kochenderfer
2018	J	`jnl`	Robust Super-Level Set Estimation using Gaussian Processes. CoRR Andrea Zanette, Junzi Zhang, Mykel J. Kochenderfer