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Learning Latent Dynamics for Planning from Pixels

12 November 2018

Papers citing "Learning Latent Dynamics for Planning from Pixels"

50 / 994 papers shown

Title
Emergent Communication with World Models Alexander I. Cowen-Rivers Jason Naradowsky 69 7 0 22 Feb 2020
Stochastic Latent Residual Video Prediction Jean-Yves Franceschi E. Delasalles Mickaël Chen Sylvain Lamprier Patrick Gallinari VGen 97 160 0 21 Feb 2020
Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning Yuanyi Zhong Alex Schwing Jian Peng DRL 111 5 0 21 Feb 2020
Objective Mismatch in Model-based Reinforcement Learning Nathan Lambert Brandon Amos Omry Yadan Roberto Calandra OffRL 52 97 0 11 Feb 2020
Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials Christian F. Perez F. Such Theofanis Karaletsos 59 37 0 08 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 89 34 0 07 Feb 2020
Ready Policy One: World Building Through Active Learning Philip J. Ball Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts OffRL 90 49 0 07 Feb 2020
Domain-Adversarial and Conditional State Space Model for Imitation Learning Ryogo Okumura Masashi Okada T. Taniguchi 66 12 0 31 Jan 2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning Jianyu Chen Shengbo Eben Li Masayoshi Tomizuka 137 240 0 23 Jan 2020
Q-Learning in enormous action spaces via amortized approximate maximization T. Wiele David Warde-Farley A. Mnih Volodymyr Mnih 75 60 0 22 Jan 2020
Relational State-Space Model for Stochastic Multi-Object Systems Fan Yang Ling Chen Fan Zhou Yusong Gao Wei Cao 73 8 0 13 Jan 2020
Learning Predictive Models From Observation and Interaction Karl Schmeckpeper Annie Xie Oleh Rybkin Stephen Tian Kostas Daniilidis Sergey Levine Chelsea Finn DRL 84 60 0 30 Dec 2019
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures S. Risi Kenneth O. Stanley 80 4 0 29 Dec 2019
Learning to Combat Compounding-Error in Model-Based Reinforcement Learning Chenjun Xiao Yifan Wu Chen Ma Dale Schuurmans Martin Müller OffRL 75 44 0 24 Dec 2019
Variational Recurrent Models for Solving Partially Observable Control Tasks Dongqi Han Kenji Doya Jun Tani DRL OffRL 72 63 0 23 Dec 2019
Soft Q Network Jingbin Liu Shuai Liu Xinyang Gu OffRL 51 2 0 20 Dec 2019
Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and Limitations Pedro Sequeira Melinda Gervasio 87 105 0 19 Dec 2019
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos Laura M. Smith Nikita Dhawan Marvin Zhang Pieter Abbeel Sergey Levine 149 160 0 10 Dec 2019
Learning Latent State Spaces for Planning through Reward Prediction Aaron J. Havens Ouyang Yi P. Nagarajan Yasuhiro Fujita 36 7 0 09 Dec 2019
Learning Human Objectives by Evaluating Hypothetical Behavior S. Reddy Anca Dragan Sergey Levine Shane Legg Jan Leike 84 75 0 05 Dec 2019
Visual Reaction: Learning to Play Catch with Your Drone Kuo-Hao Zeng Roozbeh Mottaghi Luca Weihs Ali Farhadi 67 14 0 04 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 151 1,376 0 03 Dec 2019
Policy Optimization Reinforcement Learning with Entropy Regularization Jingbin Liu Xinyang Gu Shuai Liu 107 4 0 02 Dec 2019
Learning Structured Representations of Spatial and Interactive Dynamics for Trajectory Prediction in Crowded Scenes Todor Davchev Michael G. Burke S. Ramamoorthy 26 0 0 29 Nov 2019
Contrastive Learning of Structured World Models Thomas Kipf Elise van der Pol Max Welling OCL DRL 121 285 0 27 Nov 2019
Scaling active inference Alexander Tschantz Manuel Baltieri A. Seth Christopher L. Buckley BDL AI4CE 68 69 0 24 Nov 2019
Planning with Goal-Conditioned Policies Soroush Nasiriany Vitchyr H. Pong Steven Lin Sergey Levine OffRL 147 219 0 19 Nov 2019
Attention-Privileged Reinforcement Learning Sasha Salter Dushyant Rao Markus Wulfmeier R. Hadsell Ingmar Posner 91 8 0 19 Nov 2019
Implicit Generative Modeling for Efficient Exploration Neale Ratzlaff Qinxun Bai Fuxin Li Wenyuan Xu 70 12 0 19 Nov 2019
Safe Interactive Model-Based Learning Marco Gallieri Seyed Sina Mirrazavi Salehian N. E. Toklu A. Quaglino Jonathan Masci Jan Koutník Faustino J. Gomez 70 12 0 15 Nov 2019
Learning Representations in Reinforcement Learning:An Information Bottleneck Approach Yingjun Pei Xinwen Hou SSL 76 10 0 12 Nov 2019
Robo-PlaNet: Learning to Poke in a Day Maxime Chevalier-Boisvert Guillaume Alain Florian Golemo Derek Nowrouzezahrai 33 2 0 09 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 68 139 0 05 Nov 2019
Explicit Explore-Exploit Algorithms in Continuous State Spaces Mikael Henaff OffRL 106 32 0 01 Nov 2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction C. Freeman Luke Metz David R Ha 82 36 0 29 Oct 2019
Entity Abstraction in Visual Model-Based Reinforcement Learning Rishi Veerapaneni John D. Co-Reyes Michael Chang Michael Janner Chelsea Finn Jiajun Wu J. Tenenbaum Sergey Levine OCL OffRL 144 189 0 28 Oct 2019
Learning Compositional Koopman Operators for Model-Based Control Yunzhu Li Hao He Jiajun Wu Dina Katabi Antonio Torralba 105 121 0 18 Oct 2019
Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on Contingency-aware Observation Huazhe Xu Boyuan Chen Yang Gao Trevor Darrell OffRL 14 2 0 17 Oct 2019
Regularizing Model-Based Planning with Energy-Based Models Rinu Boney Arno Solin Alexander Ilin 76 18 0 12 Oct 2019
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 75 41 0 09 Oct 2019
Object-centric Forward Modeling for Model Predictive Control Yufei Ye Dhiraj Gandhi Abhinav Gupta Shubham Tulsiani LM&Ro OCL 62 39 0 08 Oct 2019
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images Denis Yarats Amy Zhang Ilya Kostrikov Brandon Amos Joelle Pineau Rob Fergus DRL 117 449 0 02 Oct 2019
Variational Temporal Abstraction Taesup Kim Sungjin Ahn Yoshua Bengio DRL 102 65 0 02 Oct 2019
Hamiltonian Generative Networks Peter Toth Danilo Jimenez Rezende Andrew Jaegle S. Racanière Aleksandar Botev I. Higgins BDL DRL AI4CE GAN 79 218 0 30 Sep 2019
Regression Planning Networks Danfei Xu Roberto Martín-Martín De-An Huang Yuke Zhu Silvio Savarese Li Fei-Fei 55 57 0 28 Sep 2019
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs Yunbo Wang Bo Liu Jiajun Wu Yuke Zhu Simon S. Du Fei-Fei Li Joshua B. Tenenbaum 54 7 0 28 Sep 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 118 54 0 27 Sep 2019
Recurrent Independent Mechanisms Anirudh Goyal Alex Lamb Jordan Hoffmann Shagun Sodhani Sergey Levine Yoshua Bengio Bernhard Schölkopf 136 338 0 24 Sep 2019
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning Joao G. Ribeiro Francisco S. Melo João Dias CLL 53 12 0 22 Sep 2019
Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations Rogerio Bonatti Ratnesh Madaan Vibhav Vineet Sebastian Scherer Ashish Kapoor SSL 56 40 0 16 Sep 2019