| Loss Bounds for Approximate Influence-Based Abstraction E Congeduti, A Mey, FA Oliehoek Proceedings of the 20th International Conference on AAMAS 2021, 2020 | 7 | 2020 |
| Influence-based abstraction in deep reinforcement learning MS de Castro, E Congeduti, RA Starre, A Czechowski, FA Oliehoek Adaptive, Learning Agents workshop 34, 2019 | 5 | 2019 |
| Influence-aware memory for deep reinforcement learning M Suau, E Congeduti, RAN Starre, A Czechowski, FA Oliehoek | 3 | 2019 |
| Influence-based abstraction in deep reinforcement learning M Suau de Castro, E Congeduti, RAN Starre, AT Czechowski, ... AAMAS Workshop on Adaptive Learning Agents (ALA), 2019 | 2 | 2019 |
| 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 | 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 |
| Influence-aware Memory for Deep RL in POMDPs M Suau, E Congeduti, J He, RAN Starre, A Czechowski, FA Oliehoek | | |
