Miguel Suau

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Reinforcement Learning

Partially Observable

Sequential Decision Tasks

Top Venues

Publications

Miguel Suau, Matthijs T. J. Spaan, Frans A. Oliehoek
Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL. CoRR (2023)
Miguel Suau, Jinke He, Mustafa Mert Çelikok, Matthijs T. J. Spaan, Frans A. Oliehoek
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems. NeurIPS (2022)
Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems. CoRR (2022)
Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek
Online Planning in POMDPs with Self-Improving Simulators. IJCAI (2022)
Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek
Speeding up Deep Reinforcement Learning through Influence-Augmented Local Simulators. AAMAS (2022)
Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek
Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems. ICML (2022)
Miguel Suau, Jinke He, Mustafa Mert Çelikok, Matthijs T. J. Spaan, Frans A. Oliehoek
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems. CoRR (2022)
Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek
Online Planning in POMDPs with Self-Improving Simulators. CoRR (2022)
Miguel Suau, Alexandros Agapitos, David Lynch, Derek Farrell, Mingqi Zhou, Aleksandar Milenovic
Offline Contextual Bandits for Wireless Network Optimization. CoRR (2021)
Jinke He, Miguel Suau, Frans A. Oliehoek
Influence-Augmented Online Planning for Complex Environments. CoRR (2020)
Jinke He, Miguel Suau, Frans A. Oliehoek
Influence-Augmented Online Planning for Complex Environments. NeurIPS (2020)
Miguel Suau, Elena Congeduti, Rolf Starre, Aleksander Czechowski, Frans A. Oliehoek
Influence-aware Memory for Deep Reinforcement Learning. CoRR (2019)