activity
20162025
most citedGeneralization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck

58 citations · 97 across the 19 of their papers we have counts for

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22 papers · 1 filter

cs.LG2023

Active Third-Person Imitation Learning

Timo Klein, Susanna Weinberger, Adish Singla +1

We consider the problem of third-person imitation learning with the additional challenge that the learner must select the perspective from which they observe the expert. In our set…

cs.LG2023

Posterior Consistency for Missing Data in Variational Autoencoders

Timur Sudak, Sebastian Tschiatschek

We consider the problem of learning Variational Autoencoders (VAEs), i.e., a type of deep generative model, from data with missing values. Such data is omnipresent in real-world ap…

cs.LG2023★ 4 cited

Learning Safety Constraints from Demonstrations with Unknown Rewards

David Lindner, Xin Chen, Sebastian Tschiatschek +2

We propose Convex Constraint Learning for Reinforcement Learning (CoCoRL), a novel approach for inferring shared constraints in a Constrained Markov Decision Process (CMDP) from a…

cs.LG2022★ 1 cited

Interactively Learning Preference Constraints in Linear Bandits

David Lindner, Sebastian Tschiatschek, Katja Hofmann +1

We study sequential decision-making with known rewards and unknown constraints, motivated by situations where the constraints represent expensive-to-evaluate human preferences, suc…

cs.LG2022★ 1 cited

Equity and Fairness of Bayesian Knowledge Tracing

Sebastian Tschiatschek, Maria Knobelsdorf, Adish Singla

We consider the equity and fairness of curricula derived from Knowledge Tracing models. We begin by defining a unifying notion of an equitable tutoring system as a system that achi…

cs.LG2021

Option Transfer and SMDP Abstraction with Successor Features

Dongge Han, Sebastian Tschiatschek

Abstraction plays an important role in the generalisation of knowledge and skills and is key to sample efficient learning. In this work, we study joint temporal and state abstracti…