Jinke He

23 papers A* 5A 4Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
VariBASed: Variational Bayes-Adaptive Sequential Monte-Carlo Planning for Deep Reinforcement Learning.
CoRR
Joery A. de Vries, Jinke He, Yaniv Oren, Pascal R. van der Vaart, Mathijs de Weerdt, Matthijs T. J. Spaan
2025 J jnl
A High-Efficiency X-Band Relativistic Magnetron With External Sector Cavities Operating in TE₀₁₁ Mode.
IEEE Access
Jinke He, Jinchuan Ju, Yuwei Fan, Zeyang Liu, Tengfang Wang, Wei Zhang
2025 J jnl
Bayesian Meta-Reinforcement Learning with Laplace Variational Recurrent Networks.
CoRR
Joery A. de Vries, Jinke He, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan
2025 J jnl
Influence-aware memory architectures for deep reinforcement learning in POMDPs.
Neural Comput. Appl.
Miguel Suau, Jinke He, Elena Congeduti, Rolf A. N. Starre, Aleksander Czechowski, Frans A. Oliehoek
2025 J jnl
Learning to Focus: Prioritizing Informative Histories with Structured Attention Mechanisms in Partially Observable Reinforcement Learning.
CoRR
Daniel De Dios Allegue, Jinke He, Frans A. Oliehoek
2025 J jnl
Timing the Match: A Deep Reinforcement Learning Approach for Ride-Hailing and Ride-Pooling Services.
CoRR
Yiman Bao, Jie Gao, Jinke He, Frans A. Oliehoek, Oded Cats
2025 A* conf
Trust-Region Twisted Policy Improvement.
ICML
Joery A. de Vries, Jinke He, Yaniv Oren, Matthijs T. J. Spaan
2025 J jnl
Trust-Region Twisted Policy Improvement.
CoRR
Joery A. de Vries, Jinke He, Yaniv Oren, Matthijs T. J. Spaan
2024 A conf
What Model Does MuZero Learn?
ECAI
Jinke He, Thomas M. Moerland, Joery A. de Vries, Frans A. Oliehoek
2023 A conf
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO.
AAMAS
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
2023 J jnl
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO.
CoRR
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
2023 J jnl
What model does MuZero learn?
CoRR
Jinke He, Thomas M. Moerland, Frans A. Oliehoek
2022 A* conf
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems.
NeurIPS
Miguel Suau, Jinke He, Mustafa Mert Çelikok, Matthijs T. J. Spaan, Frans A. Oliehoek
2022 J jnl
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems.
CoRR
Miguel Suau, Jinke He, Mustafa Mert Çelikok, Matthijs T. J. Spaan, Frans A. Oliehoek
2022 J jnl
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems.
CoRR
Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek
2022 A* conf
Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems.
ICML
Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek
2022 A* conf
Online Planning in POMDPs with Self-Improving Simulators.
IJCAI
Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek
2022 J jnl
Online Planning in POMDPs with Self-Improving Simulators.
CoRR
Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek
2022 J jnl
RangL: A Reinforcement Learning Competition Platform.
CoRR
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
2022 A conf
Speeding up Deep Reinforcement Learning through Influence-Augmented Local Simulators.
AAMAS
Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek
2020 A* conf
Influence-Augmented Online Planning for Complex Environments.
NeurIPS
Jinke He, Miguel Suau, Frans A. Oliehoek
2020 J jnl
Influence-Augmented Online Planning for Complex Environments.
CoRR
Jinke He, Miguel Suau, Frans A. Oliehoek
2020 A conf
Multitask Soft Option Learning.
UAI
Maximilian Igl, Andrew Gambardella, Jinke He, Nantas Nardelli, N. Siddharth, Wendelin Boehmer, Shimon Whiteson