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Active Exploration for Inverse Reinforcement Learning


Jul 18, 2022
David Lindner, Andreas Krause, Giorgia Ramponi


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Humans are not Boltzmann Distributions: Challenges and Opportunities for Modelling Human Feedback and Interaction in Reinforcement Learning


Jun 27, 2022
David Lindner, Mennatallah El-Assady

* Accepted to Communication in Human-AI Interaction Workshop (CHAI) at IJCAI-ECAI-22 

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Interactively Learning Preference Constraints in Linear Bandits


Jun 10, 2022
David Lindner, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause

* Accepted to International Conference on Machine Learning (ICML), 2022 

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Scalable Safe Exploration for Global Optimization of Dynamical Systems


Jan 25, 2022
Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann


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Addressing the Long-term Impact of ML Decisions via Policy Regret


Jun 02, 2021
David Lindner, Hoda Heidari, Andreas Krause

* Accepted to IJCAI 2021 

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Learning What To Do by Simulating the Past


May 03, 2021
David Lindner, Rohin Shah, Pieter Abbeel, Anca Dragan

* Presented at ICLR 2021 

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Information Directed Reward Learning for Reinforcement Learning


Feb 24, 2021
David Lindner, Matteo Turchetta, Sebastian Tschiatschek, Kamil Ciosek, Andreas Krause


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Challenges for Using Impact Regularizers to Avoid Negative Side Effects


Feb 23, 2021
David Lindner, Kyle Matoba, Alexander Meulemans

* Presented at the SafeAI workshop at AAAI 2021 

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