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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
Offline Policy Comparison with Confidence: Benchmarks and Baselines Anurag Koul Mariano Phielipp Alan Fern OffRL 67 0 0 22 May 2022
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions Rui Yang Jie Wang Zijie Geng Mingxuan Ye Shuiwang Ji Bin Li Fengli Wu OOD 82 22 0 20 May 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 324 705 0 20 May 2022
CARNet: A Dynamic Autoencoder for Learning Latent Dynamics in Autonomous Driving Tasks A. Pak Hemanth Manjunatha Dimitar Filev Panagiotis Tsiotras 31 5 0 18 May 2022
Generalizable Task Planning through Representation Pretraining Chen Wang Danfei Xu Li Fei-Fei LM&Ro 134 29 0 16 May 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Rameswar Panda OnRL 150 196 0 16 May 2022
An Empirical Investigation of Representation Learning for Imitation Xin Chen Sam Toyer Cody Wild Scott Emmons Ian S. Fischer ... Steven H. Wang Ping Luo Stuart J. Russell Pieter Abbeel Rohin Shah AI4TS 90 27 0 16 May 2022
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction Yining Hong Kaichun Mo L. Yi Leonidas Guibas Antonio Torralba J. Tenenbaum Chuang Gan 86 5 0 05 May 2022
TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models S. Triest Matthew Sivaprakasam Sean J. Wang Wenshan Wang Aaron M. Johnson Sebastian Scherer 137 57 0 03 May 2022
VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation Alexander L. Mitchell W. Merkt Mathieu Geisert Siddhant Gangapurwala Martin Engelcke Oiwi Parker Jones Ioannis Havoutis Ingmar Posner 76 3 0 02 May 2022
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning Chenyu Sun Hangwei Qian Chunyan Miao OffRL 84 12 0 02 May 2022
Task-Induced Representation Learning Jun Yamada Karl Pertsch Anisha Gunjal Joseph J. Lim SSL 62 13 0 25 Apr 2022
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods Yi Wan Ali Rahimi-Kalahroudi Janarthanan Rajendran Ida Momennejad Sarath Chandar H. V. Seijen 94 12 0 25 Apr 2022
Learning Symmetric Embeddings for Equivariant World Models Jung Yeon Park Ondrej Biza Linfeng Zhao Jan-Willem van de Meent Robin Walters 103 45 0 24 Apr 2022
Learning Sequential Latent Variable Models from Multimodal Time Series Data Oliver Limoyo Trevor Ablett Jonathan Kelly 63 5 0 21 Apr 2022
INFOrmation Prioritization through EmPOWERment in Visual Model-Based RL Homanga Bharadhwaj Mohammad Babaeizadeh D. Erhan Sergey Levine 86 31 0 18 Apr 2022
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models Ali Ghadirzadeh Petra Poklukar Karol Arndt Chelsea Finn Ville Kyrki Danica Kragic Mårten Björkman OffRL 59 2 0 18 Apr 2022
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels Tianxin Tao Daniele Reda M. van de Panne ViT 71 19 0 11 Apr 2022
MA-Dreamer: Coordination and communication through shared imagination Kenzo Lobos-Tsunekawa Akshay Srinivasan Michael Spranger 62 2 0 10 Apr 2022
Gradient-Based Trajectory Optimization With Learned Dynamics Bhavya Sukhija Nathanael Kohler Miguel Zamora Simon Zimmermann Sebastian Curi Andreas Krause Stelian Coros 92 9 0 09 Apr 2022
Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining Qihang Zhang Zhenghao Peng Bolei Zhou SSL 104 40 0 05 Apr 2022
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks Zehua Wang Guogang Liao Xiaowen Shi Xiaoxu Wu Wei Shen Yongkang Wang Xingxing Wang Dong Wang OffRL 70 6 0 02 Apr 2022
Reinforcement Learning with Action-Free Pre-Training from Videos Younggyo Seo Kimin Lee Stephen James Pieter Abbeel SSL OnRL 102 123 0 25 Mar 2022
On the link between conscious function and general intelligence in humans and machines Arthur Juliani Kai Arulkumaran Shuntaro Sasai Ryota Kanai 103 26 0 24 Mar 2022
Competency Assessment for Autonomous Agents using Deep Generative Models Aastha Acharya Rebecca L. Russell Nisar R. Ahmed 81 11 0 23 Mar 2022
NavDreams: Towards Camera-Only RL Navigation Among Humans Daniel Dugas Olov Andersson Roland Siegwart Jen Jen Chung VGen 82 12 0 23 Mar 2022
Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL Akram Erraqabi Marlos C. Machado Mingde Zhao Sainbayar Sukhbaatar A. Lazaric Ludovic Denoyer Yoshua Bengio OffRL 77 9 0 21 Mar 2022
One After Another: Learning Incremental Skills for a Changing World Nur Muhammad (Mahi) Shafiullah Lerrel Pinto CLL 73 13 0 21 Mar 2022
Latent-Variable Advantage-Weighted Policy Optimization for Offline RL Xi Chen Ali Ghadirzadeh Tianhe Yu Yuan Gao Jianhao Wang Wenzhe Li Bin Liang Chelsea Finn Chongjie Zhang OffRL 83 14 0 16 Mar 2022
Multi-View Dreaming: Multi-View World Model with Contrastive Learning Akira Kinose Masashi Okada Ryogo Okumura T. Taniguchi OffRL 68 11 0 15 Mar 2022
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation Bokui Shen Zhenyu Jiang Chris Choy Leonidas Guibas Silvio Savarese Anima Anandkumar Yuke Zhu AI4CE 117 43 0 14 Mar 2022
Information-Theoretic Odometry Learning Sen Zhang Jing Zhang Dacheng Tao 56 5 0 11 Mar 2022
Tactile-Sensitive NewtonianVAE for High-Accuracy Industrial Connector Insertion Ryogo Okumura Nobuki Nishio T. Taniguchi 66 8 0 10 Mar 2022
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning A. Chester Michael Dann Fabio Zambetta John Thangarajah 34 0 0 09 Mar 2022
Temporal Difference Learning for Model Predictive Control Nicklas Hansen Xiaolong Wang H. Su PINN MU 99 255 0 09 Mar 2022
Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images Bang You Oleg Arenz Youping Chen Jan Peters 86 19 0 02 Mar 2022
Continual Learning of Multi-modal Dynamics with External Memory Abdullah Akgul Gözde B. Ünal M. Kandemir CLL 53 0 0 02 Mar 2022
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction Masashi Okada T. Taniguchi 3DV OffRL 95 24 0 01 Mar 2022
Neural Ordinary Differential Equations for Nonlinear System Identification Aowabin Rahman Ján Drgoňa Aaron Tuor J. Strube 105 22 0 28 Feb 2022
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields Danny Driess Zhiao Huang Yunzhu Li Russ Tedrake Marc Toussaint OCL AI4CE 186 87 0 24 Feb 2022
Inference of Affordances and Active Motor Control in Simulated Agents Fedor Scholz Christian Gumbsch S. Otte Martin Volker Butz AI4CE 73 5 0 23 Feb 2022
Benchmarking Generative Latent Variable Models for Speech Jakob Drachmann Havtorn Lasse Borgholt Søren Hauberg J. Frellsen Lars Maaløe 61 3 0 22 Feb 2022
TransDreamer: Reinforcement Learning with Transformer World Models Changgu Chen Yi-Fu Wu Jaesik Yoon Sungjin Ahn OffRL 106 97 0 19 Feb 2022
GrASP: Gradient-Based Affordance Selection for Planning Vivek Veeriah Zeyu Zheng Richard L. Lewis Satinder Singh 71 4 0 08 Feb 2022
Learning to reason about and to act on physical cascading events Yuval Atzmon E. Meirom Shie Mannor Gal Chechik LRM 48 0 0 02 Feb 2022
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes Chao Qu Jue Chen Siqiao Xue Xiaoming Shi James Y. Zhang Hongyuan Mei OffRL 65 18 0 29 Jan 2022
Mask-based Latent Reconstruction for Reinforcement Learning Tao Yu Zhizheng Zhang Cuiling Lan Yan Lu Zhibo Chen 96 45 0 28 Jan 2022
Tracking and Planning with Spatial World Models Baris Kayalibay Atanas Mirchev Patrick van der Smagt Justin Bayer 73 2 0 25 Jan 2022
Constrained Policy Optimization via Bayesian World Models Yarden As Ilnura N. Usmanova Sebastian Curi Andreas Krause OffRL 108 55 0 24 Jan 2022
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning Haichao Zhang Wei Xu Haonan Yu 78 10 0 24 Jan 2022