| Influence-based abstraction in deep reinforcement learning MS de Castro, E Congeduti, RAN Starre, A Czechowski, FA Oliehoek Proceedings of the AAMAS workshop on adaptive learning agents (ALA), 2019 | 10* | 2019 |
| 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, 1-17, 2022 | 6 | 2022 |
| Model-Based Reinforcement Learning with State Abstraction: A Survey RAN Starre, M Loog, FA Oliehoek BNAIC/BeNeLearn 2022, 2022 | 4 | 2022 |
| Influence-aware memory for deep reinforcement learning M Suau, E Congeduti, RAN Starre, A Czechowski, FA Oliehoek | 2 | 2020 |
| An Analysis of Model-Based Reinforcement Learning From Abstracted Observations RAN Starre, M Loog, E Congeduti, FA Oliehoek Transactions on Machine Learning Research, 2023 | 1 | 2023 |
| An analysis of abstracted model-based reinforcement learning RAN Starre, M Loog, E Congeduti, FA Oliehoek arXiv preprint arXiv:2208.14407, 2022 | 1 | 2022 |
| Comparing Exploration Approaches in Deep Reinforcement Learning for Traffic Light Control Y Oren, RAN Starre, FA Oliehoek BNAIC/BeneLearn 2020, 179, 2020 | 1 | 2020 |
| Influence-aware Memory for Deep RL in POMDPs M Suau, E Congeduti, J He, RAN Starre, A Czechowski, FA Oliehoek NeurIPS Workshop, 2020 | 1 | 2020 |
| Influence-aware memory for deep reinforcement learning MS de Castro, E Congeduti, R Starre, A Czechowski, F Oliehoek arXiv preprint arXiv:1911.07643, 2019 | 1 | 2019 |
| AboutInfluence' FA Oliehoek, E Congeduti, A Czechowski, J He, A Mey, RAN Starre, ... | | 2022 |
| Influence-aware Memory Architectures for Deep Reinforcement Learning M Suau, J He, E Congeduti, RAN Starre, A Czechowski, FA Oliehoek arXiv preprint arXiv:1911.07643, 2019 | | 2019 |
| Action Selection Policies for Walking Monte Carlo Tree Search RAN Starre | | 2018 |
| Personalized adaptive dentist game B Evers, O Huang, RAN Starre | | 2016 |
| and Engineering E Kuhn, J He, R Starre, F Oliehoek | | |
