Lenart Treven
8 papers · 2021–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(20)
❓
The Questioner
Venues
Top co-authors
Research topics
Reinforcement Learning
(7)
Machine Learning
(6)
Artificial Intelligence
(5)
Methods
(5)
Optimization & Theory
(5)
Core AI
(4)
Learning Types
(4)
Applications
(3)
Bayesian & Probabilistic
(3)
Mathematics & Optimization
(1)
Robotics
(1)
Core Methods
(1)
Learning Paradigms
(1)
Optimization
(1)
Systems
(1)
Keywords
epistemic uncertainty
(4)
model-based reinforcement learning
(4)
optimal control
(3)
gaussian process
(3)
sample efficiency
(2)
regret bound
(2)
reinforcement learning
(2)
dynamical system
(2)
probabilistic model
(2)
efficient exploration
(1)
optimistic exploration
(1)
bayesian optimization
(1)
markov decision process
(1)
linear quadratic regulator
(1)
neural ordinary differential equation
(1)
transductive learning
(1)
nonlinear dynamical system
(1)
state space model
(1)
semidefinite programming
(1)
active learning
(1)
Papers
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
ICLR 2025
NeoRL: Efficient Exploration for Nonepisodic RL
NeurIPS 2024
Transductive Active Learning: Theory and Applications
NeurIPS 2024
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL
NeurIPS 2024
Efficient Exploration in Continuous-time Model-based Reinforcement Learning
NeurIPS 2023
Optimistic Active Exploration of Dynamical Systems
NeurIPS 2023
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models
NeurIPS 2021
Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory
L4DC 2021