Edouard Leurent
7 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
π₯
Mega-Team Β· Squad
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Venues
Top co-authors
Research topics
Keywords
sample complexity
(3)
monte carlo tree search
(2)
best-policy identification
(2)
reward-free exploration
(2)
markov decision process
(2)
adaptive control
(1)
safe reinforcement learning
(1)
generative model
(1)
regret bound
(1)
parameter-efficient fine-tuning
(1)
safety constraint
(1)
pure exploration
(1)
linear system
(1)
exploration bonus
(1)
robust control
(1)
trajectory planning
(1)
interval prediction
(1)
graph search
(1)
state similarity
(1)
inference time
(1)
Papers
Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning
EMNLP 2024
Adaptive Reward-Free Exploration
ALT 2021
Fast active learning for pure exploration in reinforcement learning
ICML 2021
Monte-Carlo Graph Search: the Value of Merging Similar States
ACML 2020
Planning in Markov Decision Processes with Gap-Dependent Sample Complexity
NeurIPS 2020
Robust-Adaptive Control of Linear Systems: beyond Quadratic Costs
NeurIPS 2020
Budgeted Reinforcement Learning in Continuous State Space
NeurIPS 2019