Miguel Suau

Orcid: 0000-0003-2607-8992

According to our database1, Miguel Suau authored at least 11 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Influence-aware memory architectures for deep reinforcement learning in POMDPs.
Neural Comput. Appl., July, 2025

Breaking Habits: On the Role of the Advantage Function in Learning Causal State Representations.
CoRR, June, 2025

2024
Leveraging Factored State Representations for Enhanced Efficiency in Reinforcement Learning.
PhD thesis, 2024

Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL.
RLJ, 2024

2022
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems.
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.
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.
Proceedings of the International Conference on Machine Learning, 2022

Speeding up Deep Reinforcement Learning through Influence-Augmented Local Simulators.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Offline Contextual Bandits for Wireless Network Optimization.
CoRR, 2021

2020
Influence-Augmented Online Planning for Complex Environments.
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.
CoRR, 2019


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