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Learning Latent Dynamics for Planning from Pixels

12 November 2018

Papers citing "Learning Latent Dynamics for Planning from Pixels"

44 / 994 papers shown

Title
Deterministic Value-Policy Gradients Qingpeng Cai L. Pan Pingzhong Tang 52 1 0 09 Sep 2019
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control Nir Levine Yinlam Chow Rui Shu Ang Li Mohammad Ghavamzadeh Hung Bui 57 30 0 04 Sep 2019
Reinforcement learning with world model Jingbin Liu Xinyang Gu Shuai Liu 31 0 0 30 Aug 2019
Dynamics-aware Embeddings William F. Whitney Rajat Agarwal Kyunghyun Cho Abhinav Gupta SSL 76 53 0 25 Aug 2019
A survey on intrinsic motivation in reinforcement learning A. Aubret L. Matignon S. Hassas AI4CE 112 144 0 19 Aug 2019
Mapping State Space using Landmarks for Universal Goal Reaching Zhiao Huang Fangchen Liu Hao Su 82 68 0 15 Aug 2019
Channel Decomposition into Painting Actions Shih-Chieh Su 92 0 0 10 Aug 2019
Towards Model-based Reinforcement Learning for Industry-near Environments Per-Arne Andersen M. G. Olsen Ole-Christoffer Granmo OffRL DRL 48 4 0 27 Jul 2019
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning Kelsey R. Allen Kevin A. Smith J. Tenenbaum LRM 108 118 0 22 Jul 2019
Composing Diverse Policies for Temporally Extended Tasks Daniel Angelov Yordan V. Hristov Michael G. Burke S. Ramamoorthy 73 18 0 18 Jul 2019
Convolutional Reservoir Computing for World Models Hanten Chang K. Futagami 50 4 0 18 Jul 2019
Data Efficient Reinforcement Learning for Legged Robots Yuxiang Yang Ken Caluwaerts Atil Iscen Tingnan Zhang Jie Tan Vikas Sindhwani 83 140 0 08 Jul 2019
Variational Inference MPC for Bayesian Model-based Reinforcement Learning Masashi Okada T. Taniguchi 79 78 0 08 Jul 2019
Procedure Planning in Instructional Videos C. Chang De-An Huang Danfei Xu Ehsan Adeli Li Fei-Fei Juan Carlos Niebles 91 103 0 02 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 91 382 0 01 Jul 2019
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning Wenling Shang Alexander R. Trott Stephan Zheng Caiming Xiong R. Socher 81 18 0 01 Jul 2019
Sequential Neural Processes Gautam Singh Jaesik Yoon Youngsung Son Sungjin Ahn BDL AI4TS 110 85 0 24 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 123 119 0 21 Jun 2019
Exploring Model-based Planning with Policy Networks Tingwu Wang Jimmy Ba 108 150 0 20 Jun 2019
Unsupervised Learning of Object Structure and Dynamics from Videos Matthias Minderer Chen Sun Ruben Villegas Forrester Cole Kevin Patrick Murphy Honglak Lee 105 150 0 19 Jun 2019
Project Thyia: A Forever Gameplayer Raluca D. Gaina Simon Lucas Diego Perez-Liebana 23 5 0 10 Jun 2019
Disentangled State Space Representations Ðorðe Miladinovic Muhammad Waleed Gondal Bernhard Schölkopf J. M. Buhmann Stefan Bauer DRL 51 30 0 07 Jun 2019
DeepMDP: Learning Continuous Latent Space Models for Representation Learning Carles Gelada Saurabh Kumar Jacob Buckman Ofir Nachum Marc G. Bellemare BDL 90 288 0 06 Jun 2019
Hamiltonian Neural Networks S. Greydanus Misko Dzamba J. Yosinski PINN AI4CE 139 899 0 04 Jun 2019
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series Zhi-Xuan Tan Harold Soh Desmond C. Ong AI4TS 85 29 0 30 May 2019
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies Yonathan Efroni Nadav Merlis Mohammad Ghavamzadeh Shie Mannor OffRL 109 68 0 27 May 2019
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning Caleb Chuck Supawit Chockchowwat S. Niekum 67 14 0 27 May 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video Miguel Jaques Michael G. Burke Timothy M. Hospedales VGen PINN 124 45 0 27 May 2019
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction Hongyao Tang Jianye Hao Guangyong Chen Pengfei Chen Zhaopeng Meng Yaodong Yang Li Wang 33 2 0 27 May 2019
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration Nicholas Watters Loic Matthey Matko Bosnjak Christopher P. Burgess Alexander Lerchner OffRL 118 118 0 22 May 2019
Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces Bryan Seybold Emily Fertig Alexander A. Alemi Ian S. Fischer DRL 87 4 0 17 May 2019
Deep Residual Reinforcement Learning Shangtong Zhang Wendelin Bohmer Shimon Whiteson 86 32 0 03 May 2019
Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold D. Mankowitz Todd Hester OffRL 105 551 0 29 Apr 2019
DAC: The Double Actor-Critic Architecture for Learning Options Shangtong Zhang Shimon Whiteson 139 73 0 29 Apr 2019
Neural Painters: A learned differentiable constraint for generating brushstroke paintings Reiichiro Nakano GAN 52 63 0 17 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 104 24 0 11 Apr 2019
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks K. Ellefsen J. Tørresen 54 1 0 04 Apr 2019
Continual Learning Using World Models for Pseudo-Rehearsal Nicholas A. Ketz Soheil Kolouri Praveen K. Pilly KELM CLL 48 7 0 06 Mar 2019
Model-Based Reinforcement Learning for Atari Lukasz Kaiser Mohammad Babaeizadeh Piotr Milos B. Osinski R. Campbell ... Sergey Levine Afroz Mohiuddin Ryan Sepassi George Tucker Henryk Michalewski OffRL 166 870 0 01 Mar 2019
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control Jeremy Morton F. Witherden Mykel J Kochenderfer 67 47 0 26 Feb 2019
Multi-Agent Reinforcement Learning with Multi-Step Generative Models Orr Krupnik Igor Mordatch Aviv Tamar DRL 64 28 0 29 Jan 2019
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control Xingxing Liang Qi Wang Yanghe Feng Zhong Liu Jincai Huang 65 5 0 24 Dec 2018
Bayesian Layers: A Module for Neural Network Uncertainty Dustin Tran Michael W. Dusenberry Mark van der Wilk Danijar Hafner UQCV BDL 128 124 0 10 Dec 2018
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker Matej Moravcík Martin Schmid Neil Burch Viliam Lisý Dustin Morrill Nolan Bard Trevor Davis Kevin Waugh Michael Bradley Johanson Michael Bowling BDL 231 913 0 06 Jan 2017