Learning Plannable Representations with Causal InfoGAN

24 July 2018

Pieter Abbeel

Papers citing "Learning Plannable Representations with Causal InfoGAN"

37 / 37 papers shown

Title
Pixel Motion as Universal Representation for Robot Control Kanchana Ranasinghe Xiang Li Cristina Mata J. Park Michael S. Ryoo VGen 32 0 0 12 May 2025
DHP: Discrete Hierarchical Planning for Hierarchical Reinforcement Learning Agents Shashank Sharma Janina Hoffmann Vinay P. Namboodiri 91 0 0 04 Feb 2025
SPOT: SE(3) Pose Trajectory Diffusion for Object-Centric Manipulation Cheng-Chun Hsu Bowen Wen Jie Xu Yashraj S. Narang Xiaolong Wang Yuke Zhu Joydeep Biswas Stan Birchfield DiffM 41 8 0 01 Nov 2024
VideoAgent: Self-Improving Video Generation Achint Soni Sreyas Venkataraman Abhranil Chandra Sebastian Fischmeister Percy Liang Bo Dai Sherry Yang LM&Ro VGen 58 7 0 14 Oct 2024
Hybrid Search for Efficient Planning with Completeness Guarantees Kalle Kujanpää Joni Pajarinen Alexander Ilin 29 3 0 19 Oct 2023
Predictive World Models from Real-World Partial Observations Robin Karlsson Alexander Carballo Keisuke Fujii Kento Ohtani K. Takeda 35 5 0 12 Jan 2023
Action Dynamics Task Graphs for Learning Plannable Representations of Procedural Tasks Weichao Mao Ruta Desai Michael L. Iuzzolino Nitin Kamra 24 5 0 11 Jan 2023
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 41 1 0 22 Nov 2022
Learning Efficient Abstract Planning Models that Choose What to Predict Nishanth Kumar Willie McClinton Rohan Chitnis Tom Silver Tomás Lozano-Pérez L. Kaelbling 32 18 0 16 Aug 2022
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search Michał Zawalski Michał Tyrolski K. Czechowski Tomasz Odrzygó'zd'z Damian Stachura Piotr Pikekos Yuhuai Wu Lukasz Kuciñski Piotr Milo's LRM 21 8 0 01 Jun 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review E. Olaniyi Dong Chen Yuzhen Lu Ya-Yu Huang 21 38 0 10 Apr 2022
Online Learning of Reusable Abstract Models for Object Goal Navigation Tommaso Campari Leonardo Lamanna P. Traverso Luciano Serafini Lamberto Ballan EgoV 15 19 0 04 Mar 2022
Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning Naman Shah Siddharth Srivastava 25 18 0 02 Feb 2022
Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters Kebing Jin H. Zhuo Zhanhao Xiao Hai Wan Subbarao Kambhampati 44 9 0 19 Oct 2021
Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning Jing Bi Jiebo Luo Chenliang Xu 76 48 0 05 Oct 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Bohan Wu Suraj Nair Li Fei-Fei Chelsea Finn OffRL LM&Ro 38 24 0 21 Sep 2021
Learning Markov State Abstractions for Deep Reinforcement Learning Cameron Allen Neev Parikh Omer Gottesman George Konidaris BDL OffRL 29 36 0 08 Jun 2021
Unsupervised Feature Learning for Manipulation with Contrastive Domain Randomization Carmel Rabinovitz Niko A. Grupen Aviv Tamar OOD SSL 28 3 0 20 Mar 2021
Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap M. Lippi Petra Poklukar Michael C. Welle Anastasia Varava Hang Yin Alessandro Marino Danica Kragic 21 13 0 03 Mar 2021
Planning from Pixels in Atari with Learned Symbolic Representations Andrea Dittadi Frederik K. Drachmann Thomas Bolander 26 11 0 16 Dec 2020
Conditional Generation of Medical Images via Disentangled Adversarial Inference Mohammad Havaei Ximeng Mao Yiping Wang Qicheng Lao GAN MedIm 26 20 0 08 Dec 2020
DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs Aayam Shrestha Stefan Lee Prasad Tadepalli Alan Fern OffRL 55 23 0 18 Oct 2020
Video Prediction via Example Guidance Jingwei Xu Huazhe Xu Bingbing Ni Xiaokang Yang Trevor Darrell AI4TS 35 17 0 03 Jul 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 24 61 0 16 Jun 2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans Ge Yang Amy Zhang Ari S. Morcos Joelle Pineau Pieter Abbeel Roberto Calandra SSL OffRL 28 27 0 07 May 2020
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation Wilson Yan Ashwin Vangipuram Pieter Abbeel Lerrel Pinto 37 188 0 11 Mar 2020
Predictive Coding for Locally-Linear Control Rui Shu Tung D. Nguyen Yinlam Chow Tu Pham Khoat Than Mohammad Ghavamzadeh Stefano Ermon Hung Bui OffRL BDL 34 24 0 02 Mar 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 26 818 0 20 Jan 2020
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos Laura M. Smith Nikita Dhawan Marvin Zhang Pieter Abbeel Sergey Levine 41 156 0 10 Dec 2019
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation Kuan Fang Yuke Zhu Animesh Garg Silvio Savarese Li Fei-Fei DRL 18 47 0 29 Oct 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 29 54 0 27 Sep 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 36 356 0 06 Jul 2019
Learning Causal State Representations of Partially Observable Environments Amy Zhang Zachary Chase Lipton Luis Villaseñor-Pineda Kamyar Azizzadenesheli Anima Anandkumar Laurent Itti Joelle Pineau Tommaso Furlanello CML 32 49 0 25 Jun 2019
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder Masataro Asai Hiroshi Kajino 22 15 0 27 Mar 2019
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control F. Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine SSL 35 377 0 03 Dec 2018
Incremental learning abstract discrete planning domains and mappings to continuous perceptions Luciano Serafini P. Traverso CLL 23 2 0 16 Oct 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 365 11,700 0 09 Mar 2017