An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning

9 February 2023

Papers citing "An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning"

37 / 37 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
Are We Done with Object-Centric Learning? Alexander Rubinstein Ameya Prabhu Matthias Bethge Seong Joon Oh OCL 520 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
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning Aniket Didolkar Andrii Zadaianchuk Rabiul Awal Maximilian Seitzer E. Gavves Aishwarya Agrawal OCL VLM 82 2 0 27 Mar 2025
Object-Centric World Model for Language-Guided Manipulation Youngjoon Jeong Junha Chun S. Cha Taesup Kim OCL VGen 73 0 0 08 Mar 2025
PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning Angel Villar-Corrales Sven Behnke 70 2 0 11 Feb 2025
Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases Cristian Meo Akihiro Nakano Mircea Lica Aniket Didolkar Masahiro Suzuki Anirudh Goyal Mengmi Zhang Justin Dauwels Y. Matsuo Yoshua Bengio OCL 28 0 0 21 Oct 2024
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents Nils Grandien Quentin Delfosse Kristian Kersting OffRL 24 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
Zero-Shot Object-Centric Representation Learning Aniket Didolkar Andrii Zadaianchuk Anirudh Goyal Mike Mozer Yoshua Bengio Georg Martius Maximilian Seitzer VLM OCL 26 4 0 17 Aug 2024
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models Amir Mohammad Karimi Mamaghan Samuele Papa Karl Henrik Johansson Stefan Bauer Andrea Dittadi OCL 35 5 0 22 Jul 2024
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning Inwoo Hwang Yunhyeok Kwak Suhyung Choi Byoung-Tak Zhang Sanghack Lee 19 1 0 05 Jun 2024
Learning to Play Atari in a World of Tokens Pranav Agarwal Sheldon Andrews Samira Ebrahimi Kahou OffRL 23 0 0 03 Jun 2024
Attention-based Iterative Decomposition for Tensor Product Representation Taewon Park Inchul Choi Minho Lee 26 1 0 03 Jun 2024
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery Anand Gopalakrishnan Aleksandar Stanić Jürgen Schmidhuber M. C. Mozer 37 5 0 27 May 2024
Recasting Generic Pretrained Vision Transformers As Object-Centric Scene Encoders For Manipulation Policies Jianing Qian Anastasios Panagopoulos Dinesh Jayaraman LM&Ro ViT 38 5 0 24 May 2024
Learning Causal Dynamics Models in Object-Oriented Environments Zhongwei Yu Jingqing Ruan Dengpeng Xing 25 1 0 21 May 2024
Composing Pre-Trained Object-Centric Representations for Robotics From "What" and "Where" Foundation Models Junyao Shi Jianing Qian Yecheng Jason Ma Dinesh Jayaraman OCL 24 4 0 20 Apr 2024
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels Dan Haramati Tal Daniel Aviv Tamar LM&Ro OffRL OCL 24 10 0 01 Apr 2024
Exploring CausalWorld: Enhancing robotic manipulation via knowledge transfer and curriculum learning Xinrui Wang Yan Jin 19 0 0 25 Mar 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
Neural Language of Thought Models Yi-Fu Wu Minseung Lee Sungjin Ahn MLLM VLM 42 5 0 02 Feb 2024
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models Yeongbin Kim Gautam Singh Junyeong Park Çağlar Gülçehre Sungjin Ahn OCL VLM 24 1 0 15 Nov 2023
Diffusion Based Causal Representation Learning Amir Mohammad Karimi Mamaghan Andrea Dittadi Stefan Bauer Karl Henrik Johansson Francesco Quinzan CML DiffM 14 0 0 09 Nov 2023
Object-Centric Multiple Object Tracking Zixu Zhao Jiaze Wang Max Horn Yizhuo Ding Tong He ... Bernt Schiele Yanwei Fu Francesco Locatello Zheng-Wei Zhang Tianjun Xiao VOT OCL 6 2 0 01 Sep 2023
Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning Fan Feng Sara Magliacane OffRL OCL 26 10 0 18 Jul 2023
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments Quentin Delfosse Jannis Blüml Bjarne Gregori Sebastian Sztwiertnia Kristian Kersting 27 17 0 14 Jun 2023
DDLP: Unsupervised Object-Centric Video Prediction with Deep Dynamic Latent Particles Tal Daniel Aviv Tamar DiffM 14 3 0 09 Jun 2023
Cycle Consistency Driven Object Discovery Aniket Didolkar Anirudh Goyal Yoshua Bengio OCL 13 8 0 03 Jun 2023
Contrastive Training of Complex-Valued Autoencoders for Object Discovery Aleksandar Stanić Anand Gopalakrishnan Kazuki Irie Jürgen Schmidhuber OCL 20 14 0 24 May 2023
Object-Centric Slot Diffusion Jindong Jiang Fei Deng Gautam Singh S. Ahn DiffM BDL OCL 13 56 0 20 Mar 2023
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations Negin Heravi Ayzaan Wahid Corey Lynch Peter R. Florence Travis Armstrong Jonathan Tompson P. Sermanet Jeannette Bohg Debidatta Dwibedi SSL 57 13 0 12 May 2022
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks Davide Mambelli Frederik Trauble Stefan Bauer Bernhard Schölkopf Francesco Locatello OCL 22 17 0 31 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents Andrea Dittadi Frederik Trauble M. Wuthrich Felix Widmaier Peter V. Gehler Ole Winther Francesco Locatello Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD 25 15 0 12 Jul 2021
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 224 252 0 09 Dec 2020
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 252 1,394 0 01 Dec 2016