Thiago D. Simão

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 35

Top Topics

Decision Process

Reinforcement Learning

Partially Observable

Top Venues

Publications

Christoph Schmidl, Thiago D. Simão, Nils Jansen
A Supervised Learning Approach to Robust Reinforcement Learning for Job Shop Scheduling. ICAART (3) (2024)
Lisandro Arturo Jimenez-Roa, Thiago D. Simão, Zaharah Allah Bukhsh, Tiedo Tinga, Hajo Molegraaf, Nils Jansen, Mariëlle Stoelinga
Maintenance Strategies for Sewer Pipes with Multi-State Degradation and Deep Reinforcement Learning. CoRR (2024)
Maris F. L. Galesloot, Thiago D. Simão, Sebastian Junges, Nils Jansen
Factored Online Planning in Many-Agent POMDPs. AAAI (2024)
Merlijn Krale, Thiago D. Simão, Jana Tumova, Nils Jansen
Robust Active Measuring under Model Uncertainty. AAAI (2024)
Alberto Castellini, Federico Bianchi, Edoardo Zorzi, Thiago D. Simão, Alessandro Farinelli, Matthijs T. J. Spaan
Scalable Safe Policy Improvement via Monte Carlo Tree Search. ICML (2023)
Qisong Yang, Thiago D. Simão, Nils Jansen, Simon H. Tindemans, Matthijs T. J. Spaan
Reinforcement Learning by Guided Safe Exploration. CoRR (2023)
Wietze Koops, Nils Jansen, Sebastian Junges, Thiago D. Simão
Recursive Small-Step Multi-Agent A* for Dec-POMDPs. IJCAI (2023)
Merlijn Krale, Thiago D. Simão, Nils Jansen
Act-Then-Measure: Reinforcement Learning for Partially Observable Environments with Active Measuring. ICAPS (2023)
Yannick Hogewind, Thiago D. Simão, Tal Kachman, Nils Jansen
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation. ICLR (2023)
Cevahir Köprülü, Thiago D. Simão, Nils Jansen, Ufuk Topcu
Risk-aware curriculum generation for heavy-tailed task distributions. UAI (2023)
Thiago D. Simão, Marnix Suilen, Nils Jansen
Safe Policy Improvement for POMDPs via Finite-State Controllers. AAAI (2023)
Qisong Yang, Thiago D. Simão, Nils Jansen, Simon H. Tindemans, Matthijs T. J. Spaan
Reinforcement Learning by Guided Safe Exploration. ECAI (2023)
Merlijn Krale, Thiago D. Simão, Nils Jansen
Act-Then-Measure: Reinforcement Learning for Partially Observable Environments with Active Measuring. CoRR (2023)
Qisong Yang, Thiago D. Simão, Simon H. Tindemans, Matthijs T. J. Spaan
Safety-constrained reinforcement learning with a distributional safety critic. Mach. Learn. 112 (3) (2023)
Merlijn Krale, Thiago D. Simão, Jana Tumova, Nils Jansen
Robust Active Measuring under Model Uncertainty. CoRR (2023)
Thom S. Badings, Thiago D. Simão, Marnix Suilen, Nils Jansen
Decision-Making Under Uncertainty: Beyond Probabilities. CoRR (2023)
Thom S. Badings, Thiago D. Simão, Marnix Suilen, Nils Jansen
Decision-making under uncertainty: beyond probabilities. Int. J. Softw. Tools Technol. Transf. 25 (3) (2023)
Patrick Wienhöft, Marnix Suilen, Thiago D. Simão, Clemens Dubslaff, Christel Baier, Nils Jansen
More for Less: Safe Policy Improvement With Stronger Performance Guarantees. CoRR (2023)
Patrick Wienhöft, Marnix Suilen, Thiago D. Simão, Clemens Dubslaff, Christel Baier, Nils Jansen
More for Less: Safe Policy Improvement with Stronger Performance Guarantees. IJCAI (2023)
Thiago D. Simão, Marnix Suilen, Nils Jansen
Safe Policy Improvement for POMDPs via Finite-State Controllers. CoRR (2023)
Maris F. L. Galesloot, Thiago D. Simão, Sebastian Junges, Nils Jansen
Factored Online Planning in Many-Agent POMDPs. CoRR (2023)
Dennis Gross, Thiago D. Simão, Nils Jansen, Guillermo A. Pérez
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking. ICAART (3) (2023)
Dennis Gross, Thiago D. Simão, Nils Jansen, Guillermo A. Pérez
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking. CoRR (2022)
Yannick Hogewind, Thiago D. Simão, Tal Kachman, Nils Jansen
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation. CoRR (2022)
Marnix Suilen, Thiago D. Simão, David Parker, Nils Jansen
Robust Anytime Learning of Markov Decision Processes. NeurIPS (2022)
Danial Kamran, Thiago D. Simão, Qisong Yang, Canmanie T. Ponnambalam, Johannes Fischer, Matthijs T. J. Spaan, Martin Lauer
A Modern Perspective on Safe Automated Driving for Different Traffic Dynamics Using Constrained Reinforcement Learning. ITSC (2022)
Marnix Suilen, Thiago D. Simão, Nils Jansen, David Parker
Robust Anytime Learning of Markov Decision Processes. CoRR (2022)
Thiago D. Simão, Nils Jansen, Matthijs T. J. Spaan
AlwaysSafe: Reinforcement Learning without Safety Constraint Violations during Training. AAMAS (2021)
Qisong Yang, Thiago D. Simão, Simon H. Tindemans, Matthijs T. J. Spaan
WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning. AAAI (2021)
Thiago D. Simão, Romain Laroche, Rémi Tachet des Combes
Safe Policy Improvement with an Estimated Baseline Policy. AAMAS (2020)
Thiago D. Simão, Matthijs T. J. Spaan
Safe Policy Improvement with Baseline Bootstrapping in Factored Environments. AAAI (2019)
Thiago D. Simão, Romain Laroche, Rémi Tachet des Combes
Safe Policy Improvement with an Estimated Baseline Policy. CoRR (2019)
Thiago D. Simão
Safe and Sample-Efficient Reinforcement Learning Algorithms for Factored Environments. IJCAI (2019)
Thiago D. Simão, Matthijs T. J. Spaan
Structure Learning for Safe Policy Improvement. IJCAI (2019)
Ignasi Andrés, Leliane Nunes de Barros, Denis Deratani Mauá, Thiago D. Simão
When a Robot Reaches Out for Human Help. IBERAMIA (2018)