Jinke He

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 14

Top Topics

Sequential Decision Tasks

Heuristic Search

Top Venues

Publications

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 Mohanty, Jiaxin Chen, Xiu Li, Xiaolong Zhu, Phillip Isola
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO. CoRR (2023)
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 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)
Jinke He, Thomas M. Moerland, Frans A. Oliehoek
What model does MuZero learn? CoRR (2023)
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)
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 (2022)
Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek
Online Planning in POMDPs with Self-Improving Simulators. IJCAI (2022)
Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek
Speeding up Deep Reinforcement Learning through Influence-Augmented Local Simulators. AAMAS (2022)
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)
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 (2022)
Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek
Online Planning in POMDPs with Self-Improving Simulators. CoRR (2022)
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 (2022)
Maximilian Igl, Andrew Gambardella, Jinke He, Nantas Nardelli, N. Siddharth, Wendelin Boehmer, Shimon Whiteson
Multitask Soft Option Learning. UAI (2020)
Jinke He, Miguel Suau, Frans A. Oliehoek
Influence-Augmented Online Planning for Complex Environments. CoRR (2020)
Jinke He, Miguel Suau, Frans A. Oliehoek
Influence-Augmented Online Planning for Complex Environments. NeurIPS (2020)