Miguel Suau

According to our database, Miguel Suau authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Leveraging Factored State Representations for Enhanced Efficiency in Reinforcement Learning.

Miguel Suau

PhD thesis, 2024

2023

Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL.

Miguel Suau, Matthijs T. J. Spaan, Frans A. Oliehoek

CoRR, 2023

2022

Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems.

Miguel Suau, Jinke He, Mustafa Mert Çelikok, Matthijs T. J. Spaan, Frans A. Oliehoek

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online Planning in POMDPs with Self-Improving Simulators.

Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems.

Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek

Proceedings of the International Conference on Machine Learning, 2022

Speeding up Deep Reinforcement Learning through Influence-Augmented Local Simulators.

Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Offline Contextual Bandits for Wireless Network Optimization.

Miguel Suau, Alexandros Agapitos, David Lynch, Derek Farrell, Mingqi Zhou, Aleksandar Milenovic

CoRR, 2021

2020

Influence-Augmented Online Planning for Complex Environments.

Jinke He, Miguel Suau, Frans A. Oliehoek

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Influence-aware Memory for Deep Reinforcement Learning.

Miguel Suau, Elena Congeduti, Rolf Starre, Aleksander Czechowski, Frans A. Oliehoek

CoRR, 2019