Jean Tarbouriech
11 papers · 2019–2023 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (20) π§ Keyword Pioneer π Conference Polyglot (6)
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Dynamic Duo
(10)
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Century Club
(11)
π₯
Unstoppable
(5)
Conferences
NIPS (5)
AISTATS (2)
ALT (1)
ICLR (1)
ICML (1)
UAI (1)
Top co-authors
Keywords
sample complexity
(5)
markov decision process
(5)
reinforcement learning
(4)
stochastic shortest path
(3)
optimal policy
(2)
goal-conditioned policy
(2)
policy learning
(1)
pac learning
(1)
probabilistic inference
(1)
value iteration
(1)
model-based reinforcement learning
(1)
arm selection
(1)
linear function approximation
(1)
regret minimization
(1)
thompson sampling
(1)
autonomous exploration
(1)
pac bound
(1)
posterior probability
(1)
variational bayesian
(1)
uncertainty quantification
(1)
Papers
Probabilistic Inference in Reinforcement Learning Done Right
NIPS 2023
Adaptive Multi-Goal Exploration
AISTATS 2022
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching
ICLR 2022
Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model
ALT 2021
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
NIPS 2021
A Provably Efficient Sample Collection Strategy for Reinforcement Learning
NIPS 2021
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs
NIPS 2020
Adversarial Attacks on Linear Contextual Bandits
NIPS 2020
Active Model Estimation in Markov Decision Processes
UAI 2020
No-Regret Exploration in Goal-Oriented Reinforcement Learning
ICML 2020
Active Exploration in Markov Decision Processes
AISTATS 2019