Loss Bounds for Approximate Influence-Based Abstraction E Congeduti, A Mey, FA Oliehoek Proceedings of the 20th International Conference on AAMAS 2021, 2020 | 10 | 2020 |
Influence-based abstraction in deep reinforcement learning MS de Castro, E Congeduti, RA Starre, A Czechowski, FA Oliehoek Proceedings of the AAMAS workshop on adaptive learning agents (ALA), 2019 | 9* | 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 | 5 | 2022 |
An analysis of model-based reinforcement learning from abstracted observations RAN Starre, M Loog, E Congeduti, FA Oliehoek arXiv preprint arXiv:2208.14407, 2022 | 2 | 2022 |
An analysis of abstracted model-based reinforcement learning RAN Starre, M Loog, FA Oliehoek | 2 | 2022 |
A cross-field review of state abstraction for markov decision processes E Congeduti, A Frans 34th Benelux Conference on Artificial Intelligence (BNAIC) and the 30th …, 2022 | 2 | 2022 |
Preliminary attempt to predict risk of invasive pulmonary aspergillosis in patients with influenza: decision trees may help? V Bellelli, G Siccardi, L Conte, L Celani, E Congeduti, C Borrazzo, ... Antibiotics 9 (10), 644, 2020 | 2 | 2020 |
Influence-aware memory for deep reinforcement learning M Suau, E Congeduti, RAN Starre, A Czechowski, FA Oliehoek | 2 | 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 |
Overcoming Traffic Sensors Malfunctions with Deep Learning VC Pastor, E Congeduti, FA Oliehoek 34th Benelux Conference on Artificial Intelligence (BNAIC) and the 30th …, 2022 | | 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 |