Optimistic Active Exploration of Dynamical Systems

Optimistic Active Exploration of Dynamical Systems

21 June 2023

Cansu Sancaktar

Sebastian Blaes

Papers citing "Optimistic Active Exploration of Dynamical Systems"

13 / 13 papers shown

Title
Neural Fidelity Calibration for Informative Sim-to-Real Adaptation Youwei Yu Lantao Liu 35 0 0 11 Apr 2025
All models are wrong, some are useful: Model Selection with Limited Labels Patrik Okanovic Andreas Kirsch Jannes Kasper Torsten Hoefler Andreas Krause Nezihe Merve Gürel VLM 23 0 0 17 Oct 2024
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Yarden As Bhavya Sukhija Lenart Treven Carmelo Sferrazza Stelian Coros Andreas Krause 27 1 0 12 Oct 2024
Beyond Optimism: Exploration With Partially Observable Rewards Simone Parisi Alireza Kazemipour Michael Bowling OffRL 32 1 0 20 Jun 2024
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL Lenart Treven Bhavya Sukhija Yarden As Florian Dorfler Andreas Krause 39 0 0 03 Jun 2024
NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause OffRL 30 0 0 03 Jun 2024
Safe Exploration Using Bayesian World Models and Log-Barrier Optimization Yarden As Bhavya Sukhija Andreas Krause OffRL 32 2 0 09 May 2024
Active Learning for Control-Oriented Identification of Nonlinear Systems Bruce D. Lee Ingvar M. Ziemann George J. Pappas Nikolai Matni 29 5 0 13 Apr 2024
Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process Kevin S. Miller Adam J. Thorpe Ufuk Topcu 21 0 0 25 Mar 2024
Bridging the Sim-to-Real Gap with Bayesian Inference Jonas Rothfuss Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause AI4CE 38 3 0 25 Mar 2024
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning Arjun Bhardwaj Jonas Rothfuss Bhavya Sukhija Yarden As Marco Hutter Stelian Coros Andreas Krause 26 5 0 13 Nov 2023
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 112 194 0 07 Feb 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016