Matteo Turchetta
8 papers · 2016–2022 · 2 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (16)
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Keyword Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Keywords
safe exploration
(3)
gaussian process
(3)
bayesian optimization
(2)
safe reinforcement learning
(2)
safety constraint
(2)
reinforcement learning
(2)
model-based reinforcement learning
(1)
thompson sampling
(1)
reward learning
(1)
hyperparameter tuning
(1)
information gain
(1)
sublinear regret
(1)
surrogate model
(1)
autonomous agent
(1)
lyapunov stability
(1)
mixed-integer optimization
(1)
control policy
(1)
stability guarantee
(1)
rover navigation
(1)
constraint learning
(1)
Papers
Learning Long-Term Crop Management Strategies with CyclesGym
NeurIPS 2022
Near-Optimal Multi-Agent Learning for Safe Coverage Control
NeurIPS 2022
Information Directed Reward Learning for Reinforcement Learning
NeurIPS 2021
Mixed-Variable Bayesian Optimization
IJCAI 2020
Safe Reinforcement Learning via Curriculum Induction
NeurIPS 2020
Safe Exploration for Interactive Machine Learning
NeurIPS 2019
Safe Model-based Reinforcement Learning with Stability Guarantees
NeurIPS 2017
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes
NeurIPS 2016