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Jinke He
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Conference and Workshop Papers
- 2023
- [c7]Yangkun Chen, Joseph Suarez, Junjie Zhang, Chenghui Yu, Bo Wu, Hanmo Chen, Hengman Zhu, Rui Du, Shanliang Qian, Shuai Liu, Weijun Hong, Jinke He, Yibing Zhang, Liang Zhao, Clare Zhu, Julian Togelius, Sharada P. Mohanty, Jiaxin Chen, Xiu Li, Xiaolong Zhu, Phillip Isola:
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO. AAMAS 2023: 2490-2492 - 2022
- [c6]Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek:
Speeding up Deep Reinforcement Learning through Influence-Augmented Local Simulators. AAMAS 2022: 1735-1737 - [c5]Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek:
Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems. ICML 2022: 20604-20624 - [c4]Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek
:
Online Planning in POMDPs with Self-Improving Simulators. IJCAI 2022: 4628-4634 - [c3]Miguel Suau, Jinke He, Mustafa Mert Çelikok, Matthijs T. J. Spaan, Frans A. Oliehoek:
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems. NeurIPS 2022 - 2020
- [c2]Jinke He, Miguel Suau, Frans A. Oliehoek:
Influence-Augmented Online Planning for Complex Environments. NeurIPS 2020 - [c1]Maximilian Igl, Andrew Gambardella, Jinke He, Nantas Nardelli, N. Siddharth, Wendelin Boehmer, Shimon Whiteson:
Multitask Soft Option Learning. UAI 2020: 969-978
Informal and Other Publications
- 2023
- [i7]Jinke He, Thomas M. Moerland, Frans A. Oliehoek:
What model does MuZero learn? CoRR abs/2306.00840 (2023) - [i6]Yangkun Chen, Joseph Suarez, Junjie Zhang, Chenghui Yu, Bo Wu, Hanmo Chen, Hengman Zhu, Rui Du, Shanliang Qian, Shuai Liu, Weijun Hong, Jinke He, Yibing Zhang, Liang Zhao, Clare Zhu, Julian Togelius, Sharada P. Mohanty, Jiaxin Chen, Xiu Li, Xiaolong Zhu, Phillip Isola:
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO. CoRR abs/2308.15802 (2023) - 2022
- [i5]Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek:
Online Planning in POMDPs with Self-Improving Simulators. CoRR abs/2201.11404 (2022) - [i4]Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek:
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems. CoRR abs/2202.01534 (2022) - [i3]Miguel Suau, Jinke He, Mustafa Mert Çelikok, Matthijs T. J. Spaan, Frans A. Oliehoek:
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems. CoRR abs/2207.00288 (2022) - [i2]Viktor Zobernig, Richard A. Saldanha, Jinke He, Erica van der Sar, Jasper van Doorn, Jia-Chen Hua, Lachlan Robert Mason, Aleksander Czechowski, Drago Indjic, Tomasz Kosmala, Alessandro Zocca, Sandjai Bhulai, Jorge Montalvo Arvizu, Claude Klöckl, John Moriarty:
RangL: A Reinforcement Learning Competition Platform. CoRR abs/2208.00003 (2022) - 2020
- [i1]Jinke He, Miguel Suau, Frans A. Oliehoek:
Influence-Augmented Online Planning for Complex Environments. CoRR abs/2010.11038 (2020)
Coauthor Index
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