Zaiyan Xu

3 papers · 2022–2025 · 3 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

Venues

AISTATS (1) L4DC (1) NeurIPS (1)

Top co-authors

Dileep Kalathil (3) Kishan Panaganti (3) Mohammad Ghavamzadeh (2)

Research topics

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

Keywords

sample complexity (2) uncertainty set (2) offline reinforcement learning (2) fitted q-iteration (1) distribution shift (1) linear function approximation (1) worst-case optimization (1) tabular reinforcement learning (1) robust policy (1) distributionally robust reinforcement learning (1) worst-case environment (1) distributionally robust learning (1) robust bellman operator (1) robust policy learning (1) wasserstein uncertainty (1) minimax formulation (1) policy learning (1) robust reinforcement learning (1)

Papers

Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage L4DC 2025 Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning AISTATS 2023 Robust Reinforcement Learning using Offline Data NeurIPS 2022