Edouard Leurent
7 papers · 2019–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π£ Hot Topic Early Bird π Conference Polyglot (5) π Academic Marathon (5) π§ Keyword Pioneer
π
Cross-Pollinator
(15)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(13)
π₯
Mega-Team
(20)
Conferences
NIPS (3)
ACML (1)
ALT (1)
EMNLP (1)
ICML (1)
Top co-authors
Keywords
sample complexity
(3)
markov decision process
(2)
reward-free exploration
(2)
best-policy identification
(2)
monte-carlo tree search
(1)
continuous state space
(1)
monte carlo tree search
(1)
adaptive control
(1)
safe reinforcement learning
(1)
regret bound
(1)
safety constraint
(1)
pure exploration
(1)
linear system
(1)
exploration bonus
(1)
robust control
(1)
parameter-efficient finetuning
(1)
trajectory planning
(1)
interval prediction
(1)
state similarity
(1)
inference time
(1)
Papers
Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning
EMNLP 2024
Fast active learning for pure exploration in reinforcement learning
ICML 2021
Adaptive Reward-Free Exploration
ALT 2021
Monte-Carlo Graph Search: the Value of Merging Similar States
ACML 2020
Planning in Markov Decision Processes with Gap-Dependent Sample Complexity
NIPS 2020
Robust-Adaptive Control of Linear Systems: beyond Quadratic Costs
NIPS 2020
Budgeted Reinforcement Learning in Continuous State Space
NIPS 2019