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Junzi Zhang

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2020 – today

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2021
[c3]
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Junzi Zhang, Jongho Kim, Brendan O'Donoghue, Stephen P. Boyd:
Sample Efficient Reinforcement Learning with REINFORCE. AAAI 2021: 10887-10895
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  - journals/corr/abs-2109-06362
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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]
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  - journals/corr/abs-2110-10116
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Yuhao Ding, Junzi Zhang, Javad Lavaei:
On the Global Convergence of Momentum-based Policy Gradient. CoRR abs/2110.10116 (2021)
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  - journals/corr/abs-2110-10117
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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]
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  - journals/siamjo/ZhangOB20
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Junzi Zhang, Brendan O'Donoghue, Stephen P. Boyd:
Globally Convergent Type-I Anderson Acceleration for Nonsmooth Fixed-Point Iterations. SIAM J. Optim. 30(4): 3170-3197 (2020)
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Anqi Fu, Junzi Zhang, Stephen P. Boyd:
Anderson Accelerated Douglas-Rachford Splitting. SIAM J. Sci. Comput. 42(6): A3560-A3583 (2020)
[i3]
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  - journals/corr/abs-2003-06069
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Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang:
A General Framework for Learning Mean-Field Games. CoRR abs/2003.06069 (2020)
[i2]
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  - journals/corr/abs-2010-11364
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Junzi Zhang, Jongho Kim, Brendan O'Donoghue, Stephen P. Boyd:
Sample Efficient Reinforcement Learning with REINFORCE. CoRR abs/2010.11364 (2020)

2010 – 2019

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2019
[c2]
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  - conf/nips/GuoHXZ19
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Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang:
Learning Mean-Field Games. NeurIPS 2019: 4967-4977
2018
[c1]
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  - conf/pkdd/ZanetteZK18
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Andrea Zanette, Junzi Zhang, Mykel J. Kochenderfer:
Robust Super-Level Set Estimation Using Gaussian Processes. ECML/PKDD (2) 2018: 276-291
[i1]
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  - journals/corr/abs-1811-09977
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Andrea Zanette, Junzi Zhang, Mykel J. Kochenderfer:
Robust Super-Level Set Estimation using Gaussian Processes. CoRR abs/1811.09977 (2018)

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