Junzi Zhang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Policy Gradient

Top Venues

Publications

Anran Hu, Junzi Zhang
MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games. CoRR (2024)
Xin Guo, Anran Hu, Junzi Zhang
MF-OMO: An Optimization Formulation of Mean-Field Games. SIAM J. Control. Optim. 62 (1) (2024)
Yuhao Ding, Junzi Zhang, Javad Lavaei
Local Analysis of Entropy-Regularized Stochastic Soft-Max Policy Gradient Methods. ECC (2023)
Ziheng Cheng, Junzi Zhang, Akshay Agrawal, Stephen P. Boyd
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models. CoRR (2023)
Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang
A General Framework for Learning Mean-Field Games. Math. Oper. Res. 48 (2) (2023)
Xin Guo, Lihong Li, Sareh Nabi, Rabih Salhab, Junzi Zhang
MESOB: Balancing Equilibria & Social Optimality. CoRR (2023)
Xin Guo, Anran Hu, Matteo Santamaria, Mahan Tajrobehkar, Junzi Zhang
MFGLib: A Library for Mean-Field Games. CoRR (2023)
Xin Guo, Anran Hu, Junzi Zhang
MF-OMO: An Optimization Formulation of Mean-Field Games. CoRR (2022)
Xin Guo, Anran Hu, Junzi Zhang
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods. AAAI (2022)
Yuhao Ding, Junzi Zhang, Javad Lavaei
On the Global Optimum Convergence of Momentum-based Policy Gradient. AISTATS (2022)
Yuhao Ding, Junzi Zhang, Javad Lavaei
Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods with Entropy Regularization. CoRR (2021)
Yuhao Ding, Junzi Zhang, Javad Lavaei
On the Global Convergence of Momentum-based Policy Gradient. CoRR (2021)
Junzi Zhang, Jongho Kim, Brendan O'Donoghue, Stephen P. Boyd
Sample Efficient Reinforcement Learning with REINFORCE. AAAI (2021)
Xin Guo, Anran Hu, Junzi Zhang
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods. CoRR (2021)
Junzi Zhang, Jongho Kim, Brendan O'Donoghue, Stephen P. Boyd
Sample Efficient Reinforcement Learning with REINFORCE. CoRR (2020)
Anqi Fu, Junzi Zhang, Stephen P. Boyd
Anderson Accelerated Douglas-Rachford Splitting. SIAM J. Sci. Comput. 42 (6) (2020)
Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang
A General Framework for Learning Mean-Field Games. CoRR (2020)
Junzi Zhang, Brendan O'Donoghue, Stephen P. Boyd
Globally Convergent Type-I Anderson Acceleration for Nonsmooth Fixed-Point Iterations. SIAM J. Optim. 30 (4) (2020)
Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang
Learning Mean-Field Games. NeurIPS (2019)
Andrea Zanette, Junzi Zhang, Mykel J. Kochenderfer
Robust Super-Level Set Estimation using Gaussian Processes. CoRR (2018)
Andrea Zanette, Junzi Zhang, Mykel J. Kochenderfer
Robust Super-Level Set Estimation Using Gaussian Processes. ECML/PKDD (2) (2018)