Ruosong Wang

Inverse Linear Bandits via Linear Programs

Frozen Policy Iteration: Computationally Efficient RL under Linear $Q^{\pi}$ Realizability for Deterministic Dynamics

List Replicable Reinforcement Learning

Plug-in Sample Complexity For Constrained Reinforcement Learning

Deployment Efficient Reward-Free Exploration with Linear Function Approximation

Regret-Optimal List Replicable Bandit Learning: Matching Upper and Lower Bounds

Minimax Optimal Regret Bound for Reinforcement Learning with Trajectory Feedback

Misspecified $Q$-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error

Minimax Optimal Regret Bound for Reinforcement Learning with Trajectory Feedback

Deployment Efficient Reward-Free Exploration with Linear Function Approximation