Yufei Zhang - RankMe

34 papers A* 1Journal 33

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An \({\alpha }\)-Potential Game Framework for \( {N}\)-Player Dynamic Games. SIAM J. Control. Optim. Xin Guo, Xinyu Li, Yufei Zhang
2025	J	`jnl`	Entropy Annealing for Policy Mirror Descent in Continuous Time and Space. SIAM J. Control. Optim. Deven Sethi, David Siska, Yufei Zhang
2025	J	`jnl`	Towards an Analytical Framework for Dynamic Potential Games. SIAM J. Control. Optim. Xin Guo, Yufei Zhang
2024	J	`jnl`	A Fast Iterative PDE-Based Algorithm for Feedback Controls of Nonsmooth Mean-Field Control Problems. SIAM J. Sci. Comput. Christoph Reisinger, Wolfgang Stockinger, Yufei Zhang
2024	J	`jnl`	Convergence of Policy Gradient Methods for Finite-Horizon Exploratory Linear-Quadratic Control Problems. SIAM J. Control. Optim. Michael Giegrich, Christoph Reisinger, Yufei Zhang
2024	J	`jnl`	Entropy annealing for policy mirror descent in continuous time and space. CoRR Deven Sethi, David Siska, Yufei Zhang
2024	J	`jnl`	Mirror Descent for Stochastic Control Problems with Measure-valued Controls. CoRR Bekzhan Kerimkulov, David Siska, Lukasz Szpruch, Yufei Zhang
2024	J	`jnl`	Optimal Scheduling of Entropy Regularizer for Continuous-Time Linear-Quadratic Reinforcement Learning. SIAM J. Control. Optim. Lukasz Szpruch, Tanut Treetanthiploet, Yufei Zhang
2024	J	`jnl`	ε-Policy Gradient for Online Pricing. CoRR Lukasz Szpruch, Tanut Treetanthiploet, Yufei Zhang
2023	J	`jnl`	A Fisher-Rao gradient flow for entropy-regularised Markov decision processes in Polish spaces. CoRR Bekzhan Kerimkulov, James-Michael Leahy, David Siska, Lukasz Szpruch, Yufei Zhang
2023	J	`jnl`	A Neural RDE approach for continuous-time non-Markovian stochastic control problems. CoRR Melker Hoglund, Emilio Ferrucci, Camilo Hernández, Aitor Muguruza Gonzalez, Cristopher Salvi, Leandro Sánchez-Betancourt, Yufei Zhang
2023	J	`jnl`	Insurance pricing on price comparison websites via reinforcement learning. CoRR Tanut Treetanthiploet, Yufei Zhang, Lukasz Szpruch, Isaac Bowers-Barnard, Henrietta Ridley, James Hickey, Chris Pearce
2023	J	`jnl`	Linear Convergence of a Policy Gradient Method for Some Finite Horizon Continuous Time Control Problems. SIAM J. Control. Optim. Christoph Reisinger, Wolfgang Stockinger, Yufei Zhang
2023	J	`jnl`	Reinforcement Learning for Linear-Convex Models with Jumps via Stability Analysis of Feedback Controls. SIAM J. Control. Optim. Xin Guo, Anran Hu, Yufei Zhang
2023	J	`jnl`	Towards An Analytical Framework for Potential Games. CoRR Xin Guo, Yufei Zhang
2022	J	`jnl`	Convergence of policy gradient methods for finite-horizon stochastic linear-quadratic control problems. CoRR Michael Giegrich, Christoph Reisinger, Yufei Zhang
2022	J	`jnl`	Linear convergence of a policy gradient method for finite horizon continuous time stochastic control problems. CoRR Christoph Reisinger, Wolfgang Stockinger, Yufei Zhang
2022	J	`jnl`	Logarithmic Regret for Episodic Continuous-Time Linear-Quadratic Reinforcement Learning over a Finite-Time Horizon. J. Mach. Learn. Res. Matteo Basei, Xin Guo, Anran Hu, Yufei Zhang
2022	J	`jnl`	Optimal scheduling of entropy regulariser for continuous-time linear-quadratic reinforcement learning. CoRR Lukasz Szpruch, Tanut Treetanthiploet, Yufei Zhang
2021	J	`jnl`	A Neural Network-Based Policy Iteration Algorithm with Global H Found. Comput. Math. Kazufumi Ito, Christoph Reisinger, Yufei Zhang
2021	J	`jnl`	A penalty scheme and policy iteration for nonlocal HJB variational inequalities with monotone nonlinearities. Comput. Math. Appl. Christoph Reisinger, Yufei Zhang
2021	J	`jnl`	Exploration-exploitation trade-off for continuous-time episodic reinforcement learning with linear-convex models. CoRR Lukasz Szpruch, Tanut Treetanthiploet, Yufei Zhang
2021	J	`jnl`	Regularity and Stability of Feedback Relaxed Controls. SIAM J. Control. Optim. Christoph Reisinger, Yufei Zhang
2021	J	`jnl`	Reinforcement learning for linear-convex models with jumps via stability analysis of feedback controls. CoRR Xin Guo, Anran Hu, Yufei Zhang
2020	J	`jnl`	A posteriori error estimates for fully coupled McKean-Vlasov forward-backward SDEs. CoRR Christoph Reisinger, Wolfgang Stockinger, Yufei Zhang
2020	J	`jnl`	Error Estimates of Penalty Schemes for Quasi-Variational Inequalities Arising from Impulse Control Problems. SIAM J. Control. Optim. Christoph Reisinger, Yufei Zhang
2020	J	`jnl`	Logarithmic regret for episodic continuous-time linear-quadratic reinforcement learning over a finite-time horizon. CoRR Matteo Basei, Xin Guo, Anran Hu, Yufei Zhang
2020	J	`jnl`	Regularity and stability of feedback relaxed controls. CoRR Christoph Reisinger, Yufei Zhang
2020	J	`jnl`	Regularity and time discretization of extended mean field control problems: a McKean-Vlasov FBSDE approach. CoRR Christoph Reisinger, Wolfgang Stockinger, Yufei Zhang
2020	A*	`conf`	Understanding Deep Architecture with Reasoning Layer. NeurIPS Xinshi Chen, Yufei Zhang, Christoph Reisinger, Le Song
2020	J	`jnl`	Understanding Deep Architectures with Reasoning Layer. CoRR Xinshi Chen, Yufei Zhang, Christoph Reisinger, Le Song
2019	J	`jnl`	A Penalty Scheme for Monotone Systems with Interconnected Obstacles: Convergence and Error Estimates. SIAM J. Numer. Anal. Christoph Reisinger, Yufei Zhang
2019	J	`jnl`	A neural network based policy iteration algorithm with global H CoRR Kazufumi Ito, Christoph Reisinger, Yufei Zhang
2019	J	`jnl`	Rectified deep neural networks overcome the curse of dimensionality for nonsmooth value functions in zero-sum games of nonlinear stiff systems. CoRR Christoph Reisinger, Yufei Zhang