Action-Conditional Video Prediction using Deep Networks in Atari Games

31 July 2015

Papers citing "Action-Conditional Video Prediction using Deep Networks in Atari Games"

50 / 229 papers shown

Title
FitVid: Overfitting in Pixel-Level Video Prediction Mohammad Babaeizadeh M. Saffar Suraj Nair Sergey Levine Chelsea Finn D. Erhan VLM 54 82 0 24 Jun 2021
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting Martine Toering Ioannis Gatopoulos M. Stol Vincent Tao Hu SSL 40 11 0 18 Jun 2021
Learning Knowledge Graph-based World Models of Textual Environments Prithviraj Ammanabrolu Mark O. Riedl 3DV 26 31 0 17 Jun 2021
Hierarchical Representation Learning for Markov Decision Processes Lorenzo Steccanella Simone Totaro Anders Jonsson 28 4 0 03 Jun 2021
DriveGAN: Towards a Controllable High-Quality Neural Simulation S. Kim Jonah Philion Antonio Torralba Sanja Fidler 29 109 0 30 Apr 2021
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task C. Requena-Mesa V. Benson Markus Reichstein J. Runge Joachim Denzler 74 50 0 16 Apr 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 28 382 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 33 23 0 17 Mar 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction Bohan Wu Suraj Nair Roberto Martin-Martin Li Fei-Fei Chelsea Finn DRL 27 100 0 06 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
MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions Haixu Wu Zhiyu Yao J. Wan Mingsheng Long 33 126 0 03 Mar 2021
Predicting Video with VQVAE Jacob Walker Ali Razavi Aaron van den Oord DRL 24 67 0 02 Mar 2021
Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang Robin Walters Rose Yu OOD AI4TS AI4CE 31 32 0 20 Feb 2021
SLPC: a VRNN-based approach for stochastic lidar prediction and completion in autonomous driving George Eskandar Alexander Braun M. Meinke Karim Armanious Bin Yang 3DV 28 4 0 19 Feb 2021
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review Rongrong Liu F. Nageotte P. Zanne M. de Mathelin Birgitta Dresp 53 143 0 08 Feb 2021
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 33 71 0 17 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 26 27 0 16 Nov 2020
Learning World Transition Model for Socially Aware Robot Navigation Yuxiang Cui Haodong Zhang Yue Wang R. Xiong 28 17 0 08 Nov 2020
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning Vaisakh Shaj P. Becker Le Chen Harit Pandya Niels van Duijkeren C. J. Taylor Marc Hanheide Gerhard Neumann AI4CE 14 14 0 20 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 53 823 0 05 Oct 2020
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics Yanchao Sun Da Huo Furong Huang AAML OffRL OnRL 31 49 0 02 Sep 2020
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
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer E. Liu Ramtin Keramati Sudarshan Seshadri Kelvin Guu Panupong Pasupat Emma Brunskill Percy Liang OffRL 27 5 0 12 Jul 2020
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs Jianzhun Du Joseph D. Futoma Finale Doshi-Velez 30 50 0 29 Jun 2020
Independent Innovation Analysis for Nonlinear Vector Autoregressive Process H. Morioka Hermanni Hälvä Aapo Hyvarinen 25 22 0 19 Jun 2020
Learning to Simulate Dynamic Environments with GameGAN Seung Wook Kim Yuhao Zhou Jonah Philion Antonio Torralba Sanja Fidler GAN 25 102 0 25 May 2020
Language Conditioned Imitation Learning over Unstructured Data Corey Lynch P. Sermanet LM&Ro 40 243 0 15 May 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee Younggyo Seo Seunghyun Lee Honglak Lee Jinwoo Shin 45 125 0 14 May 2020
Learning to Slide Unknown Objects with Differentiable Physics Simulations Changkyu Song Abdeslam Boularias 35 39 0 11 May 2020
A review of radar-based nowcasting of precipitation and applicable machine learning techniques R. Prudden Samantha V. Adams D. Kangin Nial H. Robinson Suman V. Ravuri S. Mohamed A. Arribas AI4Cl OffRL 45 45 0 11 May 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning Z. Guo Bernardo Avila-Pires Bilal Piot Jean-Bastien Grill Florent Altché Rémi Munos M. G. Azar BDL DRL SSL 43 140 0 30 Apr 2020
Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task Katya Kudashkina Valliappa Chockalingam Graham W. Taylor Michael Bowling OffRL LLMAG 33 2 0 28 Apr 2020
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics Amir H. Mosavi Pedram Ghamisi Yaser Faghan Puhong Duan OffRL 27 152 0 21 Mar 2020
Photo-Realistic Video Prediction on Natural Videos of Largely Changing Frames O. Shouno GAN 43 21 0 19 Mar 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction Vincent Le Guen Nicolas Thome AI4CE PINN 98 289 0 03 Mar 2020
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning Yuanyi Zhong Alex Schwing Jian Peng DRL 15 5 0 21 Feb 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel S. Brown Russell Coleman R. Srinivasan S. Niekum BDL 35 101 0 21 Feb 2020
Causally Correct Partial Models for Reinforcement Learning Danilo Jimenez Rezende Ivo Danihelka George Papamakarios Nan Rosemary Ke Ray Jiang ... Jane X. Wang Jovana Mitrović F. Besse Ioannis Antonoglou Lars Buesing AI4TS 24 32 0 07 Feb 2020
Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics Ling-yu Duan Jiaying Liu Wenhan Yang Tiejun Huang Wen Gao 33 187 0 10 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 43 301 0 08 Jan 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
Experience-Embedded Visual Foresight Yen-Chen Lin Maria Bauzá Phillip Isola 22 35 0 12 Nov 2019
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks Ruben Villegas Arkanath Pathak Harini Kannan D. Erhan Quoc V. Le Honglak Lee VGen 22 136 0 05 Nov 2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction C. Freeman Luke Metz David R Ha 33 35 0 29 Oct 2019
DwNet: Dense warp-based network for pose-guided human video generation Polina Zablotskaia Aliaksandr Siarohin Bo Zhao Leonid Sigal DiffM 3DH 43 119 0 21 Oct 2019
Model-based Reinforcement Learning for Predictions and Control for Limit Order Books Haoran Wei Yuanbo Wang L. Mangu Keith S. Decker 13 24 0 09 Oct 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
Model-based Behavioral Cloning with Future Image Similarity Learning Alan Wu A. Piergiovanni Michael S. Ryoo OffRL 34 14 0 08 Oct 2019
Making sense of sensory input Maciej Wołczyk Jacek Tabor Johannes Welbl Szymon Maszke Marek Sergot 19 52 0 05 Oct 2019
Mathematical Reasoning in Latent Space Dennis Lee Christian Szegedy M. Rabe Sarah M. Loos Kshitij Bansal 30 33 0 26 Sep 2019