NIPS Proceedings^β

Zhaoran Wang

10 Papers

Convergent Policy Optimization for Safe Reinforcement Learning (2019)

Neural Temporal-Difference Learning Converges to Global Optima (2019)

Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy (2019)

Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost (2019)

Statistical-Computational Tradeoff in Single Index Models (2019)

Variance Reduced Policy Evaluation with Smooth Function Approximation (2019)

Contrastive Learning from Pairwise Measurements (2018)

Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization (2018)

Provable Gaussian Embedding with One Observation (2018)

Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein’s Lemma (2017)