Learning Visual Predictive Models of Physics for Playing Billiards

23 November 2015

Papers citing "Learning Visual Predictive Models of Physics for Playing Billiards"

50 / 54 papers shown

Title
Implicit Physics-aware Policy for Dynamic Manipulation of Rigid Objects via Soft Body Tools Zixing Wang A. H. Qureshi 54 0 0 08 Feb 2025
CueTip: An Interactive and Explainable Physics-aware Pool Assistant Sean Memery Kevin Denamganai Jiaxin Zhang Zehai Tu Yiwen Guo Kartic Subr LRM 44 0 0 30 Jan 2025
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems Alejandro Castañeda Garcia Jan van Gemert Daan Brinks Nergis Tömen 43 0 0 02 Oct 2024
Physical Property Understanding from Language-Embedded Feature Fields Albert J. Zhai Yuan Shen Emily Y. Chen Gloria X. Wang Xinlei Wang Sheng Wang Kaiyu Guan Shenlong Wang 43 13 0 05 Apr 2024
Learning Whole-body Manipulation for Quadrupedal Robot S. Jeon Moonkyu Jung Suyoung Choi Beomjoon Kim Jemin Hwangbo 26 28 0 31 Aug 2023
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes Haotian Xue Antonio Torralba J. Tenenbaum Daniel L. K. Yamins Yunzhu Li H. Tung PINN VGen AI4CE 69 8 0 22 Apr 2023
PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation Maxwell A. Xu Alexander Moreno Supriya Nagesh V. Aydemir D. Wetter Santosh Kumar James M. Rehg AI4TS 24 7 0 14 Dec 2022
Dynamic Inference on Graphs using Structured Transition Models Saumya Saxena Oliver Kroemer AI4CE 54 0 0 29 Sep 2022
Monocular Camera-based Complex Obstacle Avoidance via Efficient Deep Reinforcement Learning Jianchuan Ding Lingping Gao Wenxi Liu Haiyin Piao Jia Pan Z. Du Xin Yang Baocai Yin 22 12 0 01 Sep 2022
Pretraining on Interactions for Learning Grounded Affordance Representations Jack Merullo Dylan Ebert Carsten Eickhoff Ellie Pavlick 29 4 0 05 Jul 2022
Block Contextual MDPs for Continual Learning Shagun Sodhani Franziska Meier Joelle Pineau Amy Zhang CLL 43 26 0 13 Oct 2021
A Vision-based Irregular Obstacle Avoidance Framework via Deep Reinforcement Learning Lingping Gao J. Ding Wenxi Liu Haiyin Piao Yuxin Wang Xin Yang Baocai Yin 3DV 32 14 0 16 Aug 2021
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning Pedro Tsividis J. Loula Jake Burga Nathan Foss Andres Campero Thomas Pouncy S. Gershman J. Tenenbaum LM&Ro 24 44 0 27 Jul 2021
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning Nan Rosemary Ke Aniket Didolkar Sarthak Mittal Anirudh Goyal Guillaume Lajoie Stefan Bauer Danilo Jimenez Rezende Yoshua Bengio Michael C. Mozer C. Pal CML 29 54 0 02 Jul 2021
Physion: Evaluating Physical Prediction from Vision in Humans and Machines Daniel M. Bear E. Wang Damian Mrowca Felix Binder Hsiau-Yu Fish Tung ... Li Fei-Fei Nancy Kanwisher J. Tenenbaum Daniel L. K. Yamins Judith E. Fan OOD 63 87 0 15 Jun 2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks Zhou Xian Shamit Lal H. Tung Emmanouil Antonios Platanios Katerina Fragkiadaki AI4CE 35 23 0 17 Mar 2021
Efficient and Interpretable Robot Manipulation with Graph Neural Networks Yixin Lin Austin S. Wang Eric Undersander Akshara Rai LM&Ro 105 44 0 25 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 32 102 0 28 Jan 2021
Learning the Predictability of the Future Dídac Surís Ruoshi Liu Carl Vondrick 24 71 0 01 Jan 2021
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks Haozhi Qi Xiaolong Wang Deepak Pathak Yi Ma Jitendra Malik 33 57 0 05 Aug 2020
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation Chuang Gan Jeremy Schwartz S. Alter Damian Mrowca Martin Schrimpf ... Antonio Torralba J. DiCarlo J. Tenenbaum Josh H. McDermott Daniel L. K. Yamins VGen 55 305 0 09 Jul 2020
Visual Grounding of Learned Physical Models Yunzhu Li Toru Lin Kexin Yi Daniel M. Bear Daniel L. K. Yamins Jiajun Wu J. Tenenbaum Antonio Torralba OOD OCL AI4CE PINN 39 79 0 28 Apr 2020
The Surprising Effectiveness of Linear Models for Visual Foresight in Object Pile Manipulation H.J. Terry Suh Russ Tedrake 21 60 0 21 Feb 2020
Learning Predictive Models From Observation and Interaction Karl Schmeckpeper Annie Xie Oleh Rybkin Stephen Tian Kostas Daniilidis Sergey Levine Chelsea Finn DRL 33 60 0 30 Dec 2019
Object-centric Forward Modeling for Model Predictive Control Yufei Ye Dhiraj Gandhi Abhinav Gupta Shubham Tulsiani LM&Ro OCL 20 38 0 08 Oct 2019
CLEVRER: CoLlision Events for Video REpresentation and Reasoning Kexin Yi Yuta Saito Yunzhu Li Pushmeet Kohli Jiajun Wu Antonio Torralba J. Tenenbaum NAI 43 457 0 03 Oct 2019
Belief Regulated Dual Propagation Nets for Learning Action Effects on Groups of Articulated Objects Ahmet E. Tekden Aykut Erdem Erkut Erdem Mert Imre M. Yunus Seker Emre Ugur AI4CE 24 17 0 09 Sep 2019
Compositional Video Prediction Yufei Ye Maneesh Singh Abhinav Gupta Shubham Tulsiani 18 85 0 22 Aug 2019
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions Zhenjia Xu Jiajun Wu Andy Zeng J. Tenenbaum Shuran Song AI4CE 15 111 0 10 Jun 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video Miguel Jaques Michael G. Burke Timothy M. Hospedales VGen PINN 21 45 0 27 May 2019
Structured agents for physical construction V. Bapst Alvaro Sanchez-Gonzalez Carl Doersch Kimberly L. Stachenfeld Pushmeet Kohli Peter W. Battaglia Jessica B. Hamrick AI4CE 30 99 0 05 Apr 2019
Unsupervised Discovery of Parts, Structure, and Dynamics Zhenjia Xu Zhijian Liu Chen Sun Kevin Patrick Murphy William T. Freeman J. Tenenbaum Jiajun Wu OCL 38 61 0 12 Mar 2019
Stochastic Prediction of Multi-Agent Interactions from Partial Observations Chen Sun Per Karlsson Jiajun Wu J. Tenenbaum Kevin Patrick Murphy 33 89 0 25 Feb 2019
Learning to Predict the Cosmological Structure Formation Siyu He Yin Li Yu Feng S. Ho Siamak Ravanbakhsh Wei Chen Barnabás Póczós 28 168 0 15 Nov 2018
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 32 389 0 03 Oct 2018
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving Nemanja Djuric Vladan Radosavljevic Henggang Cui Thi Nguyen Fang-Chieh Chou Tsung-Han Lin Nitin Singh J. Schneider 46 206 0 17 Aug 2018
Flexible Neural Representation for Physics Prediction Damian Mrowca Chengxu Zhuang E. Wang Nick Haber Li Fei-Fei J. Tenenbaum Daniel L. K. Yamins OCL AI4CE 27 249 0 21 Jun 2018
Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh Bingbin Liu De-An Huang Li Fei-Fei Juan Carlos Niebles DRL 138 305 0 11 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 42 595 0 04 Jun 2018
Relational inductive bias for physical construction in humans and machines Jessica B. Hamrick Kelsey R. Allen V. Bapst Tina Zhu Kevin R. McKee J. Tenenbaum Peter W. Battaglia 39 110 0 04 Jun 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber BDL OCL DRL 34 290 0 28 Feb 2018
Deep Video Generation, Prediction and Completion of Human Action Sequences Haoye Cai Chunyan Bai Yu-Wing Tai Chi-Keung Tang VGen 29 143 0 23 Nov 2017
Fast Model Identification via Physics Engines for Data-Efficient Policy Search Shaojun Zhu A. Kimmel Kostas E. Bekris Abdeslam Boularias 31 14 0 24 Oct 2017
Model-Based Planning with Discrete and Continuous Actions Mikael Henaff William F. Whitney Yann LeCun 30 16 0 19 May 2017
Metacontrol for Adaptive Imagination-Based Optimization Jessica B. Hamrick A. J. Ballard Razvan Pascanu Oriol Vinyals N. Heess Peter W. Battaglia 27 69 0 07 May 2017
Motion Prediction Under Multimodality with Conditional Stochastic Networks Katerina Fragkiadaki Jonathan Huang Alexander A. Alemi Sudheendra Vijayanarasimhan Susanna Ricco Rahul Sukthankar 3DH 25 25 0 05 May 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 256 439 0 01 Dec 2016
Learning to Perform Physics Experiments via Deep Reinforcement Learning Misha Denil Pulkit Agrawal Tejas D. Kulkarni Tom Erez Peter W. Battaglia Nando de Freitas AI4CE 46 339 0 06 Nov 2016
Learning to Push by Grasping: Using multiple tasks for effective learning Lerrel Pinto Abhinav Gupta 31 134 0 28 Sep 2016
From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robots Mark Pfeiffer Michaela Schaeuble Juan I. Nieto Roland Siegwart Cesar Cadena 46 380 0 26 Sep 2016