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Zhuoran Yang

Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning
Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator
Convergent Policy Optimization for Safe Reinforcement Learning
High-dimensional Varying Index Coefficient Models via Stein's Identity
Provable Gaussian Embedding with One Observation