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 / 225 papers shown

Title
Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Tianhao Chen Limei Cheng Yang Liu Wenchuan Jia Shugen Ma 6 4 0 08 Aug 2019
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks Michelle A. Lee Yuke Zhu Peter Zachares Matthew Tan K. Srinivasan Silvio Savarese Fei-Fei Li Animesh Garg Jeannette Bohg SSL 23 208 0 28 Jul 2019
Dynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets N. Otberdout Mohamed Daoudi Anis Kacem Lahoucine Ballihi Stefano Berretti GAN 32 52 0 23 Jul 2019
Learning Belief Representations for Imitation Learning in POMDPs Tanmay Gangwani Joel Lehman Qiang Liu Jian Peng 24 36 0 22 Jun 2019
Shaping Belief States with Generative Environment Models for RL Karol Gregor Danilo Jimenez Rezende F. Besse Yan Wu Hamza Merzic Aaron van den Oord OffRL AI4CE 25 118 0 21 Jun 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 44 254 0 19 Jun 2019
Unsupervised Learning of Object Structure and Dynamics from Videos Matthias Minderer Chen Sun Ruben Villegas Forrester Cole Kevin Patrick Murphy Honglak Lee 27 150 0 19 Jun 2019
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations Qiaoyun Wu Tianyi Zhou Jun Wang Kai Xu 16 15 0 17 Jun 2019
Deep Reinforcement Learning for Cyber Security Thanh Thi Nguyen Vijay Janapa Reddi OffRL AI4CE 10 313 0 13 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 32 286 0 12 Jun 2019
The Principle of Unchanged Optimality in Reinforcement Learning Generalization A. Irpan Xingyou Song OffRL 33 7 0 02 Jun 2019
Combating the Compounding-Error Problem with a Multi-step Model Kavosh Asadi Dipendra Kumar Misra Seungchan Kim Michel L. Littman LRM 16 55 0 30 May 2019
Snooping Attacks on Deep Reinforcement Learning Matthew J. Inkawhich Yiran Chen Hai Helen Li AAML 22 25 0 28 May 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning Yilun Du Karthik Narasimhan 19 33 0 13 May 2019
Improved Conditional VRNNs for Video Prediction Lluis Castrejon Nicolas Ballas Aaron Courville VGen DRL 23 161 0 27 Apr 2019
DynamoNet: Dynamic Action and Motion Network Ali Diba Vivek Sharma Luc Van Gool Rainer Stiefelhagen 30 110 0 25 Apr 2019
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
Planning with Expectation Models Yi Wan M. Zaheer Adam White Martha White R. Sutton OffRL 21 23 0 02 Apr 2019
A Local Approach to Forward Model Learning: Results on the Game of Life Game Simon Lucas Alexander Dockhorn Vanessa Volz Chris Bamford Raluca D. Gaina Ivan Bravi Diego Perez-Liebana Sanaz Mostaghim R. Kruse 24 17 0 29 Mar 2019
DQN with model-based exploration: efficient learning on environments with sparse rewards Stephen Gou Yuyang Liu 13 14 0 22 Mar 2019
Video Extrapolation with an Invertible Linear Embedding Robert Pottorff Jared Nielsen David Wingate 24 5 0 01 Mar 2019
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies Tom Zahavy Avinatan Hassidim Haim Kaplan Yishay Mansour OffRL 22 7 0 26 Feb 2019
A Neurally-Inspired Hierarchical Prediction Network for Spatiotemporal Sequence Learning and Prediction Jielin Qiu Ge Huang T. Lee 24 10 0 25 Jan 2019
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic Mikael Henaff A. Canziani Yann LeCun OOD 28 122 0 08 Jan 2019
Grounded Human-Object Interaction Hotspots from Video Tushar Nagarajan Christoph Feichtenhofer Kristen Grauman 29 159 0 11 Dec 2018
Theory of Curriculum Learning, with Convex Loss Functions D. Weinshall D. Amir 24 41 0 09 Dec 2018
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 35 378 0 03 Dec 2018
Disentangling Propagation and Generation for Video Prediction Hang Gao Huazhe Xu Qi-Zhi Cai Ruth Wang Feng Yu Trevor Darrell 23 84 0 02 Dec 2018
Diverse Image Synthesis from Semantic Layouts via Conditional IMLE Ke Li Tianhao Zhang Jitendra Malik DiffM 173 85 0 29 Nov 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards David Warde-Farley T. Wiele Tejas D. Kulkarni Catalin Ionescu Steven Hansen Volodymyr Mnih DRL OffRL SSL 41 173 0 28 Nov 2018
Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GAN Masaki Saito Shunta Saito Masanori Koyama Sosuke Kobayashi 29 145 0 22 Nov 2018
Learning Actionable Representations with Goal-Conditioned Policies Dibya Ghosh Abhishek Gupta Sergey Levine 32 109 0 19 Nov 2018
An Algorithmic Perspective on Imitation Learning Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters 48 826 0 16 Nov 2018
Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy Naman Patel Apoorva Nandini Saridena A. Choromańska Prashanth Krishnamurthy Farshad Khorrami 14 18 0 12 Nov 2018
An initial attempt of combining visual selective attention with deep reinforcement learning Liu Yuezhang Ruohan Zhang D. Ballard 18 20 0 11 Nov 2018
Towards Governing Agent's Efficacy: Action-Conditional $β$ -VAE for Deep Transparent Reinforcement Learning John Yang Gyujeong Lee Minsung Hyun Simyung Chang Nojun Kwak 29 3 0 11 Nov 2018
Contingency-Aware Exploration in Reinforcement Learning Jongwook Choi Yijie Guo Marcin Moczulski Junhyuk Oh Neal Wu Mohammad Norouzi Honglak Lee 13 73 0 05 Nov 2018
Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos Ying Tai Yicong Liang Xiaoming Liu Lei Duan Jilin Li Chengjie Wang Feiyue Huang Yu Chen CVBM 15 73 0 01 Nov 2018
Towards a Simple Approach to Multi-step Model-based Reinforcement Learning Kavosh Asadi Evan Cater Dipendra Kumar Misra Michael L. Littman OffRL 24 13 0 31 Oct 2018
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks Michelle A. Lee Yuke Zhu K. Srinivasan Parth Shah Silvio Savarese Li Fei-Fei Animesh Garg Jeannette Bohg SSL 30 368 0 24 Oct 2018
Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects N. L. Hir Olivier Sigaud Alban Laflaquière 15 5 0 11 Oct 2018
Recurrent Flow-Guided Semantic Forecasting Adam M. Terwilliger Garrick Brazil Xiaoming Liu 21 46 0 21 Sep 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 52 920 0 04 Sep 2018
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models Alexander Neitz Giambattista Parascandolo Stefan Bauer Bernhard Schölkopf 23 38 0 14 Aug 2018
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics Xinchen Yan Akash Rastogi Ruben Villegas Kalyan Sunkavalli Eli Shechtman Sunil Hadap Ersin Yumer Honglak Lee 30 150 0 14 Aug 2018
Pose Guided Human Video Generation Ceyuan Yang Zhe Wang Xinge Zhu Chen Huang Jianping Shi Dahua Lin GAN 22 145 0 30 Jul 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 40 535 0 12 Jul 2018
A survey on policy search algorithms for learning robot controllers in a handful of trials Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 17 155 0 06 Jul 2018
Deep Reinforcement Learning: An Overview Seyed Sajad Mousavi Michael Schukat Enda Howley 13 45 0 23 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