Boosting Object Representation Learning via Motion and Object Continuity

16 November 2022

Papers citing "Boosting Object Representation Learning via Motion and Object Continuity"

21 / 21 papers shown

Title
Better Decisions through the Right Causal World Model Elisabeth Dillies Quentin Delfosse Jannis Blüml Raban Emunds Florian Peter Busch Kristian Kersting 20 0 0 09 Apr 2025
The Dual-Route Model of Induction Sheridan Feucht Eric Todd Byron C. Wallace David Bau 21 0 0 03 Apr 2025
Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder Yuhan Zhang Guoqing Ma Guangfu Hao Liangxuan Guo Yang Chen S. Yu OnRL 64 0 0 08 Feb 2025
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents Nils Grandien Quentin Delfosse Kristian Kersting OffRL 27 2 0 18 Oct 2024
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning Hikaru Shindo Quentin Delfosse D. Dhami Kristian Kersting 33 3 0 15 Oct 2024
OCALM: Object-Centric Assessment with Language Models Timo Kaufmann Jannis Blüml Antonia Wüst Quentin Delfosse Kristian Kersting Eyke Hüllermeier LM&Ro LRM 24 1 0 24 Jun 2024
Neural Concept Binder Wolfgang Stammer Antonia Wüst David Steinmann Kristian Kersting OCL 26 4 0 14 Jun 2024
EXPIL: Explanatory Predicate Invention for Learning in Games Jingyuan Sha Hikaru Shindo Quentin Delfosse Kristian Kersting D. Dhami 22 1 0 10 Jun 2024
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning Quentin Delfosse Jannis Blüml Bjarne Gregori Kristian Kersting 26 7 0 06 Jun 2024
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning Hector Kohler Quentin Delfosse R. Akrour Kristian Kersting Philippe Preux 38 14 0 23 May 2024
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop Hector Kohler Quentin Delfosse Paul Festor Philippe Preux 27 0 0 16 Apr 2024
End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations Lirui Luo Guoxi Zhang Hongming Xu Yaodong Yang Cong Fang Qing Li 16 11 0 19 Mar 2024
Pix2Code: Learning to Compose Neural Visual Concepts as Programs Antonia Wüst Wolfgang Stammer Quentin Delfosse D. Dhami Kristian Kersting 41 13 0 13 Feb 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents Quentin Delfosse Sebastian Sztwiertnia M. Rothermel Wolfgang Stammer Kristian Kersting 41 18 0 11 Jan 2024
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments Quentin Delfosse Jannis Blüml Bjarne Gregori Sebastian Sztwiertnia Kristian Kersting 27 17 0 14 Jun 2023
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction Quentin Delfosse Hikaru Shindo D. Dhami Kristian Kersting 14 35 0 02 Jun 2023
MarioNette: Self-Supervised Sprite Learning Dmitriy Smirnov Michael Gharbi Matthew Fisher Vitor Campagnolo Guizilini Alexei A. Efros Justin Solomon SSL OCL 64 37 0 29 Apr 2021
Adaptive Rational Activations to Boost Deep Reinforcement Learning Quentin Delfosse P. Schramowski Martin Mundt Alejandro Molina Kristian Kersting 29 8 0 18 Feb 2021
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 224 252 0 09 Dec 2020
Generative Neurosymbolic Machines Jindong Jiang Sungjin Ahn BDL OCL 202 68 0 23 Oct 2020
Unsupervised Discovery of 3D Physical Objects from Video Yilun Du Kevin A. Smith Tomer Ulman J. Tenenbaum Jiajun Wu OCL 96 36 0 24 Jul 2020