Thiago D. Simão
16 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (13)
🧭
Keyword Pioneer
🌍
Conference Polyglot
(6)
🤝
Dynamic Duo
(10)
🏆
Grand Slam
🏆
Keyword Champion
(6)
💎
Century Club
(16)
🚀
Conference Pioneer
🗃️
Keyword Collector
(59)
⚡
Prolific Year
(6)
🔥
Unstoppable
(5)
Conferences
AAAI (5)
IJCAI (4)
ICLR (3)
ICML (2)
NIPS (1)
UAI (1)
Top co-authors
Keywords
safe policy improvement
(6)
reinforcement learning
(4)
sample complexity
(3)
markov decision process
(3)
offline reinforcement learning
(3)
policy learning
(2)
sample efficiency
(2)
partially observable markov decision process
(2)
policy improvement
(2)
safe reinforcement learning
(2)
formal verification
(1)
sequential decision-making
(1)
sequential decision making
(1)
model uncertainty
(1)
structure learning
(1)
robust optimization
(1)
policy iteration
(1)
particle filtering
(1)
batch reinforcement learning
(1)
online planning
(1)
Papers
Robust Transfer of Safety-Constrained Reinforcement Learning Agents
ICLR 2025
Safety-Prioritizing Curricula for Constrained Reinforcement Learning
ICLR 2025
Robust Active Measuring under Model Uncertainty
AAAI 2024
Scalable Safe Policy Improvement for Factored Multi-Agent MDPs
ICML 2024
Factored Online Planning in Many-Agent POMDPs
AAAI 2024
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
More for Less: Safe Policy Improvement with Stronger Performance Guarantees
IJCAI 2023
Recursive Small-Step Multi-Agent A* for Dec-POMDPs
IJCAI 2023
Robust Anytime Learning of Markov Decision Processes
NIPS 2022
WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning
AAAI 2021
Structure Learning for Safe Policy Improvement
IJCAI 2019
Safe and Sample-Efficient Reinforcement Learning Algorithms for Factored Environments
IJCAI 2019
Safe Policy Improvement with Baseline Bootstrapping in Factored Environments
AAAI 2019