Jean Tarbouriech
11 papers · 2019–2023 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (20) π€ Dynamic Duo (10) π Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Keyword Collector
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Research topics
Keywords
sample complexity
(5)
markov decision process
(5)
reinforcement learning
(4)
stochastic shortest path
(3)
optimal policy
(2)
goal-conditioned policy
(2)
pac learning
(1)
exploration-exploitation tradeoff
(1)
policy optimization
(1)
regret minimization
(1)
pac bound
(1)
mutual information
(1)
value iteration
(1)
model-based reinforcement learning
(1)
uncertainty quantification
(1)
linear function approximation
(1)
variational bayesian
(1)
skill discovery
(1)
arm selection
(1)
policy learning
(1)
Papers
Probabilistic Inference in Reinforcement Learning Done Right
NeurIPS 2023
Adaptive Multi-Goal Exploration
AISTATS 2022
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching
ICLR 2022
A Provably Efficient Sample Collection Strategy for Reinforcement Learning
NeurIPS 2021
Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model
ALT 2021
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
NeurIPS 2021
Active Model Estimation in Markov Decision Processes
UAI 2020
Adversarial Attacks on Linear Contextual Bandits
NeurIPS 2020
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs
NeurIPS 2020
No-Regret Exploration in Goal-Oriented Reinforcement Learning
ICML 2020
Active Exploration in Markov Decision Processes
AISTATS 2019