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Deep Visual Foresight for Planning Robot Motion

3 October 2016

Papers citing "Deep Visual Foresight for Planning Robot Motion"

50 / 453 papers shown

Title
Pushing it out of the Way: Interactive Visual Navigation Kuo-Hao Zeng Luca Weihs Ali Farhadi Roozbeh Mottaghi 86 32 0 28 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 159 280 0 16 Apr 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills Yevgen Chebotar Karol Hausman Yao Lu Ted Xiao Dmitry Kalashnikov ... A. Irpan Benjamin Eysenbach Ryan Julian Chelsea Finn Sergey Levine SSL OffRL 97 153 0 15 Apr 2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning Xudong Wang Long Lian Stella X. Yu OOD 98 39 0 07 Apr 2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos Annie S. Chen Suraj Nair Chelsea Finn 94 141 0 31 Mar 2021
Robust Reinforcement Learning under model misspecification Lebin Yu Jian Wang Xudong Zhang OOD 67 2 0 29 Mar 2021
Robot Program Parameter Inference via Differentiable Shadow Program Inversion Bastian Alt Darko Katic Rainer Jäkel A. Bozcuoğlu Michael Beetz 89 10 0 26 Mar 2021
Deformable Linear Object Prediction Using Locally Linear Latent Dynamics Wenbo Zhang Karl Schmeckpeper Pratik Chaudhari Kostas Daniilidis AI4CE 57 23 0 26 Mar 2021
Preliminary Experimental Results of Context-Aware Teams of Multiple Autonomous Agents Operating under Constrained Communications J. Martinez-Lorenzo Jeffrey Hudack Yutao Jing Michael Shaham Zixuan Liang ... Juan Heredia Juesas Yuntao Ma Tristan Sweeney Nicolas Ares Ari Fox 101 0 0 25 Mar 2021
Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery Chia-Man Hung Li Sun Yizhe Wu Ioannis Havoutis Ingmar Posner 45 5 0 22 Mar 2021
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning Yunbo Wang Haixu Wu Jianjin Zhang Zhifeng Gao Jianmin Wang Philip S. Yu Mingsheng Long 163 397 0 17 Mar 2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks Zhou Xian Shamit Lal H. Tung Emmanouil Antonios Platanios Katerina Fragkiadaki AI4CE 108 23 0 17 Mar 2021
DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos Haoqi Yuan Ruihai Wu Andrew Zhao Hanwang Zhang Zihan Ding Hao Dong 76 3 0 07 Mar 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction Bohan Wu Suraj Nair Roberto Martin-Martin Li Fei-Fei Chelsea Finn DRL 103 102 0 06 Mar 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms Ali Ghadirzadeh Xi Chen Petra Poklukar Chelsea Finn Mårten Björkman Danica Kragic BDL 97 41 0 05 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 62 14 0 03 Mar 2021
Safe Learning-based Gradient-free Model Predictive Control Based on Cross-entropy Method Lei Zheng Ruicong Yang Zhixuan Wu Jiesen Pan Hui Cheng 74 10 0 24 Feb 2021
VisuoSpatial Foresight for Physical Sequential Fabric Manipulation Ryan Hoque Daniel Seita Ashwin Balakrishna Aditya Ganapathi A. Tanwani Nawid Jamali K. Yamane Soshi Iba Ken Goldberg 51 38 0 19 Feb 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 332 435 0 16 Feb 2021
Neuro-algorithmic Policies enable Fast Combinatorial Generalization Marin Vlastelica Michal Rolínek Georg Martius 74 17 0 15 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 165 538 0 04 Feb 2021
Keep it Simple: Data-efficient Learning for Controlling Complex Systems with Simple Models Thomas Power Dmitry Berenson 88 16 0 04 Feb 2021
Object and Relation Centric Representations for Push Effect Prediction Ahmet E. Tekden Aykut Erdem Erkut Erdem Tamim Asfour Emre Ugur 72 16 0 03 Feb 2021
SwingBot: Learning Physical Features from In-hand Tactile Exploration for Dynamic Swing-up Manipulation Chen Wang Shaoxiong Wang Branden Romero Filipe Veiga Edward H. Adelson 83 109 0 28 Jan 2021
Action Priors for Large Action Spaces in Robotics Ondrej Biza Dian Wang Robert Platt Jan-Willem van de Meent Lawson L. S. Wong 87 14 0 11 Jan 2021
Learning Temporal Dynamics from Cycles in Narrated Video Dave Epstein Jiajun Wu Cordelia Schmid Chen Sun AI4TS 104 14 0 07 Jan 2021
Model-Based Visual Planning with Self-Supervised Functional Distances Stephen Tian Suraj Nair F. Ebert Sudeep Dasari Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 235 60 0 30 Dec 2020
Offline Reinforcement Learning from Images with Latent Space Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn OffRL 93 129 0 21 Dec 2020
Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation Albert Zhan Philip Zhao Lerrel Pinto Pieter Abbeel Michael Laskin SSL DRL 98 21 0 14 Dec 2020
Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning Mohammad Babaeizadeh M. Saffar Danijar Hafner Harini Kannan Chelsea Finn Sergey Levine D. Erhan VLM 65 9 0 08 Dec 2020
A Review of Designs and Applications of Echo State Networks Chenxi Sun Moxian Song linda Qiao Hongyan Li AAML 48 34 0 05 Dec 2020
Variational Monocular Depth Estimation for Reliability Prediction Noriaki Hirose S. Taguchi Keisuke Kawano Satoshi Koide MDE 63 4 0 24 Nov 2020
Multimodal dynamics modeling for off-road autonomous vehicles J. Tremblay Travis Manderson Aurélio Noca Gregory Dudek David Meger 85 17 0 23 Nov 2020
Explaining Conditions for Reinforcement Learning Behaviors from Real and Imagined Data Aastha Acharya Rebecca L. Russell Nisar R. Ahmed OffRL 50 4 0 17 Nov 2020
Mutual Information Based Method for Unsupervised Disentanglement of Video Representation Aditya Sreekar Ujjwal Tiwari A. Namboodiri DRL 123 4 0 17 Nov 2020
Deep Affordance Foresight: Planning Through What Can Be Done in the Future Danfei Xu Ajay Mandlekar Roberto Martín-Martín Yuke Zhu Silvio Savarese Li Fei-Fei 103 72 0 17 Nov 2020
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 59 50 0 16 Nov 2020
Autonomously Navigating a Surgical Tool Inside the Eye by Learning from Demonstration Ji Woong Kim Changyan He Muller Urias Peter L. Gehlbach Gregory Hager I. Iordachita Marin Kobilarov 72 28 0 16 Nov 2020
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning Yufei Wang G. Narasimhan Xingyu Lin Brian Okorn David Held OffRL LRM 78 14 0 13 Nov 2020
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators H. Tung Xian Zhou Mihir Prabhudesai Shamit Lal Katerina Fragkiadaki 92 28 0 12 Nov 2020
DIPN: Deep Interaction Prediction Network with Application to Clutter Removal Baichuan Huang Shuai D. Han Abdeslam Boularias Jingjin Yu AI4CE 103 61 0 09 Nov 2020
Bait and Switch: Online Training Data Poisoning of Autonomous Driving Systems Naman Patel Prashanth Krishnamurthy S. Garg Farshad Khorrami AAML 49 13 0 08 Nov 2020
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning Avi Singh Albert Yu Jonathan Yang Jesse Zhang Aviral Kumar Sergey Levine SSL OffRL OnRL 101 103 0 27 Oct 2020
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning Guangxiang Zhu Minghao Zhang Honglak Lee Chongjie Zhang OffRL 140 18 0 23 Oct 2020
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning Annie S. Chen H. Nam Suraj Nair Chelsea Finn OffRL 90 25 0 22 Oct 2020
Model-Based Inverse Reinforcement Learning from Visual Demonstrations Neha Das Sarah Bechtle Todor Davchev Dinesh Jayaraman Akshara Rai Franziska Meier 199 84 0 18 Oct 2020
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban Peter Karkus M. Berk Mirza A. Guez Andrew Jaegle Timothy Lillicrap Lars Buesing N. Heess T. Weber OffRL 67 8 0 03 Oct 2020
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks Zhiyu Yao Yunbo Wang Mingsheng Long Jianmin Wang AI4TS 56 18 0 24 Sep 2020
Learning to Identify Physical Parameters from Video Using Differentiable Physics Rama Krishna Kandukuri Jan Achterhold Michael Möller J. Stückler SSL 54 14 0 17 Sep 2020
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning M. Berk Mirza Andrew Jaegle Jonathan J. Hunt A. Guez S. Tunyasuvunakool ... Peter Karkus S. Racanière Lars Buesing Timothy Lillicrap N. Heess AI4CE 81 12 0 11 Sep 2020