Thiago D. Simão

16 papers · 2019–2025 · 6 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (27) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🏆 Keyword Champion (6) 🏆 Grand Slam 🤝 Dynamic Duo (10) ⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🚀 Conference Pioneer 🗃️ Keyword Collector (70)

Venues

AAAI (5) IJCAI (4) ICLR (3) ICML (2) NeurIPS (1) UAI (1)

Top co-authors

Nils Jansen (10) Matthijs T. J. Spaan (5) Marnix Suilen (3) Alberto Castellini (2) Cevahir Koprulu (2) Edoardo Zorzi (2) Alessandro Farinelli (2) Sebastian Junges (2) Federico Bianchi (2) Ufuk Topcu (2)

Research topics

Reinforcement Learning (15) Methods (15) Artificial Intelligence (12) Core AI (12) Machine Learning (10) Learning Types · Machine Learning (6) Optimization & Theory (5) Deep Learning (2) Application Areas (2) Applications · Reinforcement Learning (2) Learning Types · Deep Learning (2) Robotics (1) Applications · Robotics (1) Bayesian & Probabilistic (1) Learning Paradigms (1)

Keywords

safe policy improvement (6) reinforcement learning (4) safe reinforcement learning (4) policy improvement (3) sample complexity (3) offline reinforcement learning (3) safety constraint (3) sample efficiency (3) markov decision process (3) partially observable markov decision process (3) policy learning (2) baseline bootstrapping (2) monte carlo tree search (2) constrained reinforcement learning (1) sequential decision making (1) transfer learning (1) curriculum learning (1) structure learning (1) robust optimization (1) online planning (1)

Papers

Robust Transfer of Safety-Constrained Reinforcement Learning Agents ICLR 2025 Safety-Prioritizing Curricula for Constrained Reinforcement Learning ICLR 2025 Factored Online Planning in Many-Agent POMDPs AAAI 2024 Robust Active Measuring under Model Uncertainty AAAI 2024 Scalable Safe Policy Improvement for Factored Multi-Agent MDPs ICML 2024 More for Less: Safe Policy Improvement with Stronger Performance Guarantees IJCAI 2023 Recursive Small-Step Multi-Agent A* for Dec-POMDPs IJCAI 2023 Risk-aware curriculum generation for heavy-tailed task distributions UAI 2023 Safe Policy Improvement for POMDPs via Finite-State Controllers AAAI 2023 Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation ICLR 2023 Scalable Safe Policy Improvement via Monte Carlo Tree Search ICML 2023 Robust Anytime Learning of Markov Decision Processes NeurIPS 2022 WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning AAAI 2021 Safe and Sample-Efficient Reinforcement Learning Algorithms for Factored Environments IJCAI 2019 Safe Policy Improvement with Baseline Bootstrapping in Factored Environments AAAI 2019 Structure Learning for Safe Policy Improvement IJCAI 2019