| 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, 2019 | 17* | 2019 |
| Diseño y construcción de una mini–turbina eólica M Suau de Castro Universidad Politécnica de Madrid, 2014 | 12 | 2014 |
| Influence-Augmented Online Planning for Complex Environments J He, M Suau, F Oliehoek NeurIPS 2020, 2020 | 10 | 2020 |
| Offline Contextual Bandits for Wireless Network Optimization M Suau, A Agapitos, D Lynch, D Farrell, M Zhou, A Milenovic NeurIPS 2021, Offline RL workshop, 2021 | 6 | 2021 |
| Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems M Suau, J He, MTJ Spaan, FA Oliehoek ICML 2022, 2022 | 5 | 2022 |
| Bad habits: Policy confounding and out-of-trajectory generalization in RL M Suau, MTJ Spaan, FA Oliehoek RLC 2024, 2023 | 4 | 2023 |
| 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 | 3 | 2022 |
| Speeding up deep reinforcement learning through influence-augmented local simulators M Suau, J He, MTJ Spaan, FA Oliehoek AAMAS 2022, 2022 | 3 | 2022 |
| Online Planning in POMDPs with Self-Improving Simulators J He, M Suau, H Baier, M Kaisers, FA Oliehoek IJCAI 2022, 2022 | 2 | 2022 |
| Using Bisimulation Metrics to Analyze and Evaluate Latent State Representations N Albers, M Suau, FA Oliehoek BNAIC 2021, 2021 | 2 | 2021 |
| Influence-Based Abstraction in Deep Reinforcement Learning M Suau, E Congeduti, RAN Starre, AT Czechowski, FA Oliehoek AAMAS Workshop on Adaptive Learning Agents (ALA), 2019 | 2 | 2019 |
| Leveraging Factored State Representations for Enhanced Efficiency in Reinforcement Learning M Suau | 1 | 2024 |
| Learning What to Attend to: Using Bisimulation Metrics to Explore and Improve Upon What a Deep Reinforcement Learning Agent Learns⋆ N Albers, M Suau, FA Oliehoek TU Delft, 2020 | 1 | 2020 |
| AboutInfluence' FA Oliehoek, E Congeduti, A Czechowski, J He, A Mey, RAN Starre, ... | | 2022 |
| Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in Reinforcement Learning M Suau, MTJ Spaan, FA Oliehoek | | |
Frans A. OliehoekAssociate Professor at Delft University of TechnologyVerified email at tudelft.nl
