| Multitask soft option learning M Igl, A Gambardella, J He, N Nardelli, N Siddharth, W Böhmer, ... UAI 2020, 2020 | 29 | 2020 |
| Influence-Augmented Online Planning for Complex Environments J He, M Suau de Castro, F Oliehoek NeurIPS 2020, 2020 | 9 | 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 | 4 | 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 | 3 | 2022 |
| Online Planning in POMDPs with Self-Improving Simulators J He, M Suau de Castro, H Baier, M Kaisers, FA Oliehoek IJCAI 2022, 2022 | 1 | 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 | 1 | 2022 |
| Influence-aware Memory for Deep RL in POMDPs M Suau, E Congeduti, J He, RAN Starre, A Czechowski, FA Oliehoek Deep RL Workshop at NeurIPS 2020, 2020 | 1 | 2020 |
| What model does MuZero learn? J He, TM Moerland, FA Oliehoek arXiv preprint arXiv:2306.00840, 2023 | | 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 | | 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 | | 2022 |
| Robust Ensemble Adversarial Model-Based Reinforcement Learning D Foffano, J He, FA Oliehoek Adaptive and Learning Agents Workshop at AAMAS 2022, 2022 | | 2022 |
| Soft Option Transfer J He, M Igl, M Smith, W Boehmer, S Whiteson Learning Transferable Skills Workshop at NeurIPS 2019, 2019 | | 2019 |
Frans A. OliehoekAssociate Professor at Delft University of TechnologyVerified email at tudelft.nl
