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Junzi Zhang
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2020 – today
- 2024
- [j4]Xin Guo
, Anran Hu, Junzi Zhang
MF-OMO: An Optimization Formulation of Mean-Field Games. SIAM J. Control. Optim. 62(1): 243-270 (2024) - [i11]Anran Hu, Junzi Zhang:
MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games. CoRR abs/2405.00282 (2024) - 2023
- [j3]Xin Guo
A General Framework for Learning Mean-Field Games. Math. Oper. Res. 48(2): 656-686 (2023) - [c6]Yuhao Ding, Junzi Zhang, Javad Lavaei:
Local Analysis of Entropy-Regularized Stochastic Soft-Max Policy Gradient Methods. ECC 2023: 1-8 - [i10]Xin Guo, Anran Hu, Matteo Santamaria, Mahan Tajrobehkar, Junzi Zhang:
MFGLib: A Library for Mean-Field Games. CoRR abs/2304.08630 (2023) - [i9]Ziheng Cheng, Junzi Zhang, Akshay Agrawal, Stephen P. Boyd:
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models. CoRR abs/2305.02573 (2023) - [i8]Xin Guo, Lihong Li, Sareh Nabi, Rabih Salhab, Junzi Zhang:
MESOB: Balancing Equilibria & Social Optimality. CoRR abs/2307.07911 (2023) - 2022
- [c5]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: 6774-6782 - [c4]Yuhao Ding, Junzi Zhang, Javad Lavaei:
On the Global Optimum Convergence of Momentum-based Policy Gradient. AISTATS 2022: 1910-1934 - [i7]Xin Guo, Anran Hu, Junzi Zhang:
MF-OMO: An Optimization Formulation of Mean-Field Games. CoRR abs/2206.09608 (2022) - 2021
- [c3]Junzi Zhang, Jongho Kim, Brendan O'Donoghue, Stephen P. Boyd:
Sample Efficient Reinforcement Learning with REINFORCE. AAAI 2021: 10887-10895 - [i6]Xin Guo, Anran Hu, Junzi Zhang:
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods. CoRR abs/2109.06362 (2021) - [i5]Yuhao Ding, Junzi Zhang, Javad Lavaei:
On the Global Convergence of Momentum-based Policy Gradient. CoRR abs/2110.10116 (2021) - [i4]Yuhao Ding, Junzi Zhang, Javad Lavaei:
Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods with Entropy Regularization. CoRR abs/2110.10117 (2021) - 2020
- [j2]Junzi Zhang
Globally Convergent Type-I Anderson Acceleration for Nonsmooth Fixed-Point Iterations. SIAM J. Optim. 30(4): 3170-3197 (2020) - [j1]Anqi Fu
Anderson Accelerated Douglas-Rachford Splitting. SIAM J. Sci. Comput. 42(6): A3560-A3583 (2020) - [i3]Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang:
A General Framework for Learning Mean-Field Games. CoRR abs/2003.06069 (2020) - [i2]Junzi Zhang, Jongho Kim, Brendan O'Donoghue, Stephen P. Boyd:
Sample Efficient Reinforcement Learning with REINFORCE. CoRR abs/2010.11364 (2020)
2010 – 2019
- 2019
- [c2]Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang:
Learning Mean-Field Games. NeurIPS 2019: 4967-4977 - 2018
- [c1]Andrea Zanette, Junzi Zhang, Mykel J. Kochenderfer
Robust Super-Level Set Estimation Using Gaussian Processes. ECML/PKDD (2) 2018: 276-291 - [i1]Andrea Zanette, Junzi Zhang, Mykel J. Kochenderfer:
Robust Super-Level Set Estimation using Gaussian Processes. CoRR abs/1811.09977 (2018)
Coauthor Index
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