Jinke He

According to our database, Jinke He authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

What model does MuZero learn?

Jinke He, Thomas M. Moerland, Frans A. Oliehoek

CoRR, 2023

Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO.

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

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

RangL: A Reinforcement Learning Competition Platform.

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

CoRR, 2022

Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems.

Miguel Suau, Jinke He, Mustafa Mert Çelikok, Matthijs T. J. Spaan, Frans A. Oliehoek

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online Planning in POMDPs with Self-Improving Simulators.

Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems.

Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek

Proceedings of the International Conference on Machine Learning, 2022

Speeding up Deep Reinforcement Learning through Influence-Augmented Local Simulators.

Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2020

Multitask Soft Option Learning.

Maximilian Igl, Andrew Gambardella, Jinke He, Nantas Nardelli, N. Siddharth, Wendelin Boehmer, Shimon Whiteson

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Influence-Augmented Online Planning for Complex Environments.

Jinke He, Miguel Suau, Frans A. Oliehoek

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020