Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation

29 October 2019

Kuan Fang

Yuke Zhu

Animesh Garg

Silvio Savarese

Li Fei-Fei

DRL

ArXiv PDF HTML

Papers citing "Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation"

30 / 30 papers shown

Title
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following Vivek Myers Bill Chunyuan Zheng Anca Dragan Kuan Fang Sergey Levine 65 0 0 08 Feb 2025
ActionDiffusion: An Action-aware Diffusion Model for Procedure Planning in Instructional Videos Lei Shi Paul-Christian Bürkner Andreas Bulling DiffM VGen 42 4 0 13 Mar 2024
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics Zhiao Huang Feng Chen Yewen Pu Chun-Tse Lin Hao Su Chuang Gan 30 4 0 11 Dec 2023
Hybrid Search for Efficient Planning with Completeness Guarantees Kalle Kujanpää Joni Pajarinen Alexander Ilin 29 3 0 19 Oct 2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization Zhiao Huang Litian Liang Z. Ling Xuanlin Li Chuang Gan H. Su 33 11 0 20 Jul 2023
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics Sizhe Li Zhiao Huang Tao Chen Tao Du Hao Su J. Tenenbaum Chuang Gan 86 19 0 27 Mar 2023
Action Dynamics Task Graphs for Learning Plannable Representations of Procedural Tasks Weichao Mao Ruta Desai Michael L. Iuzzolino Nitin Kamra 32 5 0 11 Jan 2023
Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks Kuan Fang Toki Migimatsu Ajay Mandlekar Li Fei-Fei Jeannette Bohg 44 2 0 11 Nov 2022
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks Kuan Fang Patrick Yin Ashvin Nair Homer Walke Ge Yan Sergey Levine OffRL 31 22 0 12 Oct 2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning Erick Rosete-Beas Oier Mees Gabriel Kalweit Joschka Boedecker Wolfram Burgard OffRL 36 81 0 19 Sep 2022
Learning Dynamic Manipulation Skills from Haptic-Play Taeyoon Lee D. Sung Kyoung-Whan Choi Choong-Keun Lee Changwoo Park Keunjun Choi 40 3 0 28 Jul 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
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space Kuan Fang Patrick Yin Ashvin Nair Sergey Levine OffRL 58 29 0 17 May 2022
STEADY: Simultaneous State Estimation and Dynamics Learning from Indirect Observations Jiayi Wei Jarrett Holtz Işıl Dillig Joydeep Biswas 37 4 0 02 Mar 2022
PlaTe: Visually-Grounded Planning with Transformers in Procedural Tasks Jiankai Sun De-An Huang Bo Lu Yunhui Liu Bolei Zhou Animesh Garg 6 54 0 10 Sep 2021
Subgoal Search For Complex Reasoning Tasks K. Czechowski Tomasz Odrzygó'zd'z Marek Zbysiñski Michał Zawalski Krzysztof Olejnik Yuhuai Wu Lukasz Kuciñski Piotr Milo's ReLM LRM 34 34 0 25 Aug 2021
Discovering Generalizable Skills via Automated Generation of Diverse Tasks Kuan Fang Yuke Zhu Silvio Savarese Li Fei-Fei 48 6 0 26 Jun 2021
ManipulaTHOR: A Framework for Visual Object Manipulation Kiana Ehsani Winson Han Alvaro Herrasti Eli VanderBilt Luca Weihs Eric Kolve Aniruddha Kembhavi Roozbeh Mottaghi LM&Ro 171 125 0 22 Apr 2021
LASER: Learning a Latent Action Space for Efficient Reinforcement Learning Arthur Allshire Roberto Martín-Martín Charles Lin Shawn Manuel Silvio Savarese Animesh Garg 21 56 0 29 Mar 2021
Closing the Planning-Learning Loop with Application to Autonomous Driving Panpan Cai David Hsu 34 13 0 11 Jan 2021
Machine Learning for Robotic Manipulation Q. Vuong OOD 33 2 0 04 Jan 2021
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects Anthony Simeonov Yilun Du Beomjoon Kim F. Hogan J. Tenenbaum Pulkit Agrawal Alberto Rodriguez 3DPC 22 49 0 16 Nov 2020
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators H. Tung Xian Zhou Mihir Prabhudesai Shamit Lal Katerina Fragkiadaki 25 28 0 12 Nov 2020
MAGIC: Learning Macro-Actions for Online POMDP Planning Yiyuan Lee Panpan Cai David Hsu 16 21 0 07 Nov 2020
Accelerating Reinforcement Learning with Learned Skill Priors Karl Pertsch Youngwoon Lee Joseph J. Lim OffRL OnRL 33 236 0 22 Oct 2020
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction Masashi Okada T. Taniguchi OffRL 37 84 0 29 Jul 2020
Goal-Aware Prediction: Learning to Model What Matters Suraj Nair Silvio Savarese Chelsea Finn 36 64 0 14 Jul 2020
Adaptive Procedural Task Generation for Hard-Exploration Problems Kuan Fang Yuke Zhu Silvio Savarese Li Fei-Fei 22 24 0 01 Jul 2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors Karl Pertsch Oleh Rybkin F. Ebert Chelsea Finn Dinesh Jayaraman Sergey Levine 22 71 0 23 Jun 2020
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning Karl Pertsch Oleh Rybkin Jingyun Yang Shenghao Zhou Konstantinos G. Derpanis Kostas Daniilidis Joseph J. Lim Andrew Jaegle VGen 45 24 0 11 Apr 2019