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Miguel Suau
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Year
Diseño y construcción de una mini–turbina eólica
M Suau de Castro
Universidad Politécnica de Madrid, 2014
72014
Influence-Augmented Online Planning for Complex Environments
J He, M Suau, F Oliehoek
Advances in Neural Information Processing Systems 33, 2020
62020
Influence-Based Abstraction in Deep Reinforcement Learning
M Suau, E Congeduti, RAN Starre, A Czechowski, FA Oliehoek
Proceedings of the AAMAS Workshop on Adaptive Learning Agents (ALA), 2019
6*2019
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
3*2019
Offline Contextual Bandits for Wireless Network Optimization
M Suau, A Agapitos, D Lynch, D Farrell, M Zhou, A Milenovic
Offline Reinforcement Learning Workshop at Neural Information Processing …, 2021
22021
Speeding up deep reinforcement learning through influence-augmented local simulators
M Suau, J He, MTJ Spaan, FA Oliehoek
Proceedings of the 21st International Conference on Autonomous Agents and …, 2022
12022
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems
M Suau, J He, MTJ Spaan, FA Oliehoek
arXiv preprint arXiv:2202.01534, 2022
12022
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
12020
AboutInfluence'
FA Oliehoek, E Congeduti, A Czechowski, J He, A Mey, RAN Starre, ...
2022
Online Planning in POMDPs with Self-Improving Simulators
J He, M Suau, H Baier, M Kaisers, FA Oliehoek
arXiv preprint arXiv:2201.11404, 2022
2022
Using Bisimulation Metrics to Analyze and Evaluate Latent State Representations
N Albers, M Suau, FA Oliehoek
33rd Benelux Conference on Artificial Intelligence and30th Belgian-Dutch …, 2021
2021
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems Download PDF
M Suau, J He, MTJ Spaan, FA Oliehoek
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