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Lenart Treven
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2020 – today
- 2024
- [i11]Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause:
Active Few-Shot Fine-Tuning. CoRR abs/2402.15441 (2024) - [i10]Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause:
Information-based Transductive Active Learning. CoRR abs/2402.15898 (2024) - [i9]Jonas Rothfuss, Bhavya Sukhija, Lenart Treven, Florian Dörfler, Stelian Coros, Andreas Krause:
Bridging the Sim-to-Real Gap with Bayesian Inference. CoRR abs/2403.16644 (2024) - [i8]Lenart Treven, Bhavya Sukhija, Yarden As, Florian Dörfler, Andreas Krause:
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL. CoRR abs/2406.01163 (2024) - [i7]Bhavya Sukhija, Lenart Treven, Florian Dörfler, Stelian Coros, Andreas Krause:
NeoRL: Efficient Exploration for Nonepisodic RL. CoRR abs/2406.01175 (2024) - [i6]Yarden As, Bhavya Sukhija, Lenart Treven, Carmelo Sferrazza, Stelian Coros, Andreas Krause:
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning. CoRR abs/2410.09486 (2024) - 2023
- [c4]Bhavya Sukhija, Lenart Treven, Cansu Sancaktar, Sebastian Blaes, Stelian Coros, Andreas Krause:
Optimistic Active Exploration of Dynamical Systems. NeurIPS 2023 - [c3]Lenart Treven, Jonas Hübotter, Bhavya Sukhija, Florian Dörfler, Andreas Krause:
Efficient Exploration in Continuous-time Model-based Reinforcement Learning. NeurIPS 2023 - [i5]Bhavya Sukhija, Lenart Treven, Cansu Sancaktar, Sebastian Blaes, Stelian Coros, Andreas Krause:
Optimistic Active Exploration of Dynamical Systems. CoRR abs/2306.12371 (2023) - [i4]Lenart Treven, Jonas Hübotter, Bhavya Sukhija, Florian Dörfler, Andreas Krause:
Efficient Exploration in Continuous-time Model-based Reinforcement Learning. CoRR abs/2310.19848 (2023) - 2021
- [c2]Lenart Treven, Sebastian Curi, Mojmír Mutný, Andreas Krause:
Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory. L4DC 2021: 664-676 - [c1]Lenart Treven, Philippe Wenk, Florian Dörfler, Andreas Krause:
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models. NeurIPS 2021: 29780-29793 - [i3]Lenart Treven, Philippe Wenk, Florian Dörfler, Andreas Krause:
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models. CoRR abs/2106.11609 (2021) - 2020
- [i2]Lenart Treven, Sebastian Curi, Mojmir Mutny, Andreas Krause:
Learning Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory. CoRR abs/2006.11022 (2020) - [i1]Luka Kolar, Rok Sikonja, Lenart Treven:
Iterative Correction of Sensor Degradation and a Bayesian Multi-Sensor Data Fusion Method. CoRR abs/2009.03091 (2020)
Coauthor Index
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