Jinke He
Jinke He
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Cited by
Cited by
Multitask soft option learning
M Igl, A Gambardella, J He, N Nardelli, N Siddharth, W Böhmer, ...
UAI 2020, 2020
Influence-Augmented Online Planning for Complex Environments
J He, M Suau de Castro, F Oliehoek
NeurIPS 2020, 2020
Influence-aware memory architectures for deep reinforcement learning in POMDPs
M Suau, J He, E Congeduti, RAN Starre, A Czechowski, FA Oliehoek
Neural Computing and Applications, 2022
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems
M Suau, J He, MTJ Spaan, F Oliehoek
ICML 2022, 2022
Online Planning in POMDPs with Self-Improving Simulators
J He, M Suau de Castro, H Baier, M Kaisers, FA Oliehoek
IJCAI 2022, 2022
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems
M Suau, J He, MM Çelikok, MTJ Spaan, FA Oliehoek
NeurIPS 2022, 2022
Influence-aware Memory for Deep RL in POMDPs
M Suau, E Congeduti, J He, RAN Starre, A Czechowski, FA Oliehoek
NeurIPS Workshop, 2020
What model does MuZero learn?
J He, TM Moerland, FA Oliehoek
arXiv preprint arXiv:2306.00840, 2023
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO
Y Chen, J Suarez, J Zhang, C Yu, B Wu, H Chen, H Zhu, R Du, S Qian, ...
AAMAS 2023, 2023
RangL: A Reinforcement Learning Competition Platform
V Zobernig, RA Saldanha, J He, E van der Sar, J van Doorn, JC Hua, ...
arXiv preprint arXiv:2208.00003, 2022
Robust Ensemble Adversarial Model-Based Reinforcement Learning
D Foffano, J He, FA Oliehoek
Adaptive and Learning Agents Workshop at AAMAS 2022, 2022
Soft Option Transfer
J He, M Igl, M Smith, W Boehmer, S Whiteson
Learning Transferable Skills Workshop at NeurIPS 2019, 2019
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