Thiago D. Simão

47 papers A* 16A 6Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Perception-Based Beliefs for POMDPs with Visual Observations. CoRR Miriam Schäfers, Merlijn Krale, Thiago D. Simão, Nils Jansen, Maximilian Weininger
2026	J	`jnl`	Sample-Efficient Policy Space Response Oracles with Joint Experience Best Response. CoRR Ariyan Bighashdel, Thiago D. Simão, Frans A. Oliehoek
2025	—	`conf`	Making Reinforcement Learning Safer via Curriculum Learning. ICAART (3) Kelvin Toonen, Thiago D. Simão
2025	A	`conf`	Pessimistic Iterative Planning with RNNs for Robust POMDPs. ECAI Maris F. L. Galesloot, Marnix Suilen, Thiago D. Simão, Steven Carr, Matthijs T. J. Spaan, Ufuk Topcu, Nils Jansen
2025	A*	`conf`	Robust Transfer of Safety-Constrained Reinforcement Learning Agents. ICLR Markel Zubia, Thiago D. Simão, Nils Jansen
2025	A*	`conf`	Safety-Prioritizing Curricula for Constrained Reinforcement Learning. ICLR Cevahir Köprülü, Thiago D. Simão, Nils Jansen, Ufuk Topcu
2025	J	`jnl`	Scaling Safe Policy Improvement: Monte Carlo Tree Search and Policy Iteration Strategies. J. Artif. Intell. Res. Federico Bianchi, Alberto Castellini, Edoardo Zorzi, Thiago D. Simão, Matthijs T. J. Spaan, Alessandro Farinelli
2025	A	`conf`	Tighter Value-Function Approximations for POMDPs. AAMAS Merlijn Krale, Wietze Koops, Sebastian Junges, Thiago D. Simão, Nils Jansen
2025	J	`jnl`	Tighter Value-Function Approximations for POMDPs. CoRR Merlijn Krale, Wietze Koops, Sebastian Junges, Thiago D. Simão, Nils Jansen
2024	—	`conf`	A Supervised Learning Approach to Robust Reinforcement Learning for Job Shop Scheduling. ICAART (3) Christoph Schmidl, Thiago D. Simão, Nils Jansen
2024	A*	`conf`	Factored Online Planning in Many-Agent POMDPs. AAAI Maris F. L. Galesloot, Thiago D. Simão, Sebastian Junges, Nils Jansen
2024	J	`jnl`	Maintenance Strategies for Sewer Pipes with Multi-State Degradation and Deep Reinforcement Learning. CoRR Lisandro Arturo Jimenez-Roa, Thiago D. Simão, Zaharah Allah Bukhsh, Tiedo Tinga, Hajo Molegraaf, Nils Jansen, Mariëlle Stoelinga
2024	J	`jnl`	Pessimistic Iterative Planning for Robust POMDPs. CoRR Maris F. L. Galesloot, Marnix Suilen, Thiago D. Simão, Steven Carr, Matthijs T. J. Spaan, Ufuk Topcu, Nils Jansen
2024	A*	`conf`	Robust Active Measuring under Model Uncertainty. AAAI Merlijn Krale, Thiago D. Simão, Jana Tumova, Nils Jansen
2024	A*	`conf`	Scalable Safe Policy Improvement for Factored Multi-Agent MDPs. ICML Federico Bianchi, Edoardo Zorzi, Alberto Castellini, Thiago D. Simão, Matthijs T. J. Spaan, Alessandro Farinelli
2023	A*	`conf`	Act-Then-Measure: Reinforcement Learning for Partially Observable Environments with Active Measuring. ICAPS Merlijn Krale, Thiago D. Simão, Nils Jansen
2023	J	`jnl`	Act-Then-Measure: Reinforcement Learning for Partially Observable Environments with Active Measuring. CoRR Merlijn Krale, Thiago D. Simão, Nils Jansen
2023	J	`jnl`	Decision-Making Under Uncertainty: Beyond Probabilities. CoRR Thom Badings, Thiago D. Simão, Marnix Suilen, Nils Jansen
2023	J	`jnl`	Decision-making under uncertainty: beyond probabilities. Int. J. Softw. Tools Technol. Transf. Thom Badings, Thiago D. Simão, Marnix Suilen, Nils Jansen
2023	J	`jnl`	Factored Online Planning in Many-Agent POMDPs. CoRR Maris F. L. Galesloot, Thiago D. Simão, Sebastian Junges, Nils Jansen
2023	J	`jnl`	More for Less: Safe Policy Improvement With Stronger Performance Guarantees. CoRR Patrick Wienhöft, Marnix Suilen, Thiago D. Simão, Clemens Dubslaff, Christel Baier, Nils Jansen
2023	A*	`conf`	More for Less: Safe Policy Improvement with Stronger Performance Guarantees. IJCAI Patrick Wienhöft, Marnix Suilen, Thiago D. Simão, Clemens Dubslaff, Christel Baier, Nils Jansen
2023	A*	`conf`	Recursive Small-Step Multi-Agent A* for Dec-POMDPs. IJCAI Wietze Koops, Nils Jansen, Sebastian Junges, Thiago D. Simão
2023	A	`conf`	Reinforcement Learning by Guided Safe Exploration. ECAI Qisong Yang, Thiago D. Simão, Nils Jansen, Simon H. Tindemans, Matthijs T. J. Spaan
2023	J	`jnl`	Reinforcement Learning by Guided Safe Exploration. CoRR Qisong Yang, Thiago D. Simão, Nils Jansen, Simon H. Tindemans, Matthijs T. J. Spaan
2023	A	`conf`	Risk-aware curriculum generation for heavy-tailed task distributions. UAI Cevahir Köprülü, Thiago D. Simão, Nils Jansen, Ufuk Topcu
2023	J	`jnl`	Robust Active Measuring under Model Uncertainty. CoRR Merlijn Krale, Thiago D. Simão, Jana Tumova, Nils Jansen
2023	—	`—`	Safe Online and Offline Reinforcement Learning. Thiago D. Simão
2023	A*	`conf`	Safe Policy Improvement for POMDPs via Finite-State Controllers. AAAI Thiago D. Simão, Marnix Suilen, Nils Jansen
2023	J	`jnl`	Safe Policy Improvement for POMDPs via Finite-State Controllers. CoRR Thiago D. Simão, Marnix Suilen, Nils Jansen
2023	A*	`conf`	Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation. ICLR Yannick Hogewind, Thiago D. Simão, Tal Kachman, Nils Jansen
2023	J	`jnl`	Safety-constrained reinforcement learning with a distributional safety critic. Mach. Learn. Qisong Yang, Thiago D. Simão, Simon H. Tindemans, Matthijs T. J. Spaan
2023	A*	`conf`	Scalable Safe Policy Improvement via Monte Carlo Tree Search. ICML Alberto Castellini, Federico Bianchi, Edoardo Zorzi, Thiago D. Simão, Alessandro Farinelli, Matthijs T. J. Spaan
2023	—	`conf`	Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking. ICAART (3) Dennis Gross, Thiago D. Simão, Nils Jansen, Guillermo A. Pérez
2022	—	`conf`	A Modern Perspective on Safe Automated Driving for Different Traffic Dynamics Using Constrained Reinforcement Learning. ITSC Danial Kamran, Thiago D. Simão, Qisong Yang, Canmanie T. Ponnambalam, Johannes Fischer, Matthijs T. J. Spaan, Martin Lauer
2022	A*	`conf`	Robust Anytime Learning of Markov Decision Processes. NeurIPS Marnix Suilen, Thiago D. Simão, David Parker, Nils Jansen
2022	J	`jnl`	Robust Anytime Learning of Markov Decision Processes. CoRR Marnix Suilen, Thiago D. Simão, Nils Jansen, David Parker
2022	J	`jnl`	Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation. CoRR Yannick Hogewind, Thiago D. Simão, Tal Kachman, Nils Jansen
2022	J	`jnl`	Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking. CoRR Dennis Gross, Thiago D. Simão, Nils Jansen, Guillermo A. Pérez
2021	A	`conf`	AlwaysSafe: Reinforcement Learning without Safety Constraint Violations during Training. AAMAS Thiago D. Simão, Nils Jansen, Matthijs T. J. Spaan
2021	A*	`conf`	WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning. AAAI Qisong Yang, Thiago D. Simão, Simon H. Tindemans, Matthijs T. J. Spaan
2020	A	`conf`	Safe Policy Improvement with an Estimated Baseline Policy. AAMAS Thiago D. Simão, Romain Laroche, Rémi Tachet des Combes
2019	A*	`conf`	Safe Policy Improvement with Baseline Bootstrapping in Factored Environments. AAAI Thiago D. Simão, Matthijs T. J. Spaan
2019	J	`jnl`	Safe Policy Improvement with an Estimated Baseline Policy. CoRR Thiago D. Simão, Romain Laroche, Rémi Tachet des Combes
2019	A*	`conf`	Safe and Sample-Efficient Reinforcement Learning Algorithms for Factored Environments. IJCAI Thiago D. Simão
2019	A*	`conf`	Structure Learning for Safe Policy Improvement. IJCAI Thiago D. Simão, Matthijs T. J. Spaan
2018	—	`conf`	When a Robot Reaches Out for Human Help. IBERAMIA Ignasi Andrés, Leliane Nunes de Barros, Denis Deratani Mauá, Thiago D. Simão