Lenart Treven
8 papers · 2021–2025 · 3 conferences · across top CS/AI conferences
Achievements
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๐ฃ Hot Topic Early Bird ๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ Conference Polyglot (3) ๐ Cross-Pollinator (11)
๐
Renaissance Researcher
(5)
๐บ๏ธ
Taxonomy Completionist
(19)
โ
The Questioner
Conferences
NIPS (6)
ICLR (1)
L4DC (1)
Top co-authors
Keywords
epistemic uncertainty
(3)
model-based reinforcement learning
(3)
gaussian process
(3)
optimal control
(3)
sample efficiency
(2)
regret bound
(2)
reinforcement learning
(2)
dynamical system
(2)
efficient exploration
(1)
bayesian optimization
(1)
markov decision process
(1)
optimistic exploration
(1)
linear quadratic regulator
(1)
probabilistic model
(1)
neural ordinary differential equation
(1)
semi-definite programming
(1)
nonlinear dynamical system
(1)
state space model
(1)
transductive learning
(1)
active learning
(1)
Papers
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
ICLR 2025
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL
NIPS 2024
NeoRL: Efficient Exploration for Nonepisodic RL
NIPS 2024
Transductive Active Learning: Theory and Applications
NIPS 2024
Optimistic Active Exploration of Dynamical Systems
NIPS 2023
Efficient Exploration in Continuous-time Model-based Reinforcement Learning
NIPS 2023
Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory
L4DC 2021
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models
NIPS 2021