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• Federated Multi-Armed Bandits
  2021 · 58 citations
• Federated Multi-armed Bandits with Personalization
  2021 · 15 citations
• Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game
  2022 · 2 citations
• Efficient Prompt Optimization Through the Lens of Best Arm Identification
  2024 · 1 citations
• Building Math Agents with Multi-Turn Iterative Preference Learning
  2024 · 1 citations
• Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning
  2026
• $f$-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses
  2026
• Efficient Multi-objective Prompt Optimization via Pure-exploration Bandits
  2026
• Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis
  2025
• A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
  2022
• Reward Teaching for Federated Multi-armed Bandits
  2023
• Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources
  2023
• Harnessing the Power of Federated Learning in Federated Contextual Bandits
  2023