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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
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems Mayalen Etcheverry Clément Moulin-Frier Pierre-Yves Oudeyer 58 24 0 02 Jul 2020
Causal Discovery in Physical Systems from Videos Yunzhu Li Antonio Torralba Anima Anandkumar Dieter Fox Animesh Garg CML 124 104 0 01 Jul 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 89 49 0 30 Jun 2020
Extracting Latent State Representations with Linear Dynamics from Rich Observations Abraham Frandsen Rong Ge 23 2 0 29 Jun 2020
Robustifying Sequential Neural Processes Jaesik Yoon Gautam Singh Sungjin Ahn 64 27 0 29 Jun 2020
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers Benjamin Eysenbach Swapnil Asawa Shreyas Chaudhari Sergey Levine Ruslan Salakhutdinov 106 94 0 24 Jun 2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors Karl Pertsch Oleh Rybkin F. Ebert Chelsea Finn Dinesh Jayaraman Sergey Levine 78 73 0 23 Jun 2020
Simple and Effective VAE Training with Calibrated Decoders Oleh Rybkin Kostas Daniilidis Sergey Levine 88 94 0 23 Jun 2020
Learning Invariant Representations for Reinforcement Learning without Reconstruction Amy Zhang R. McAllister Roberto Calandra Y. Gal Sergey Levine OOD SSL 128 479 0 18 Jun 2020
Forward Prediction for Physical Reasoning Rohit Girdhar Laura Gustafson Aaron B. Adcock Laurens van der Maaten LRM AI4CE 127 21 0 18 Jun 2020
Deep Reinforcement Learning amidst Lifelong Non-Stationarity Annie Xie James Harrison Chelsea Finn CLL OffRL 92 65 0 18 Jun 2020
Reinforcement Learning as Iterative and Amortised Inference Beren Millidge Alexander Tschantz A. Seth Christopher L. Buckley OffRL 52 3 0 13 Jun 2020
Continuous Control for Searching and Planning with a Learned Model Xuxi Yang Werner Duvaud Peng Wei 56 5 0 12 Jun 2020
Deep Reinforcement and InfoMax Learning Bogdan Mazoure Rémi Tachet des Combes T. Doan Philip Bachman R. Devon Hjelm AI4CE 78 109 0 12 Jun 2020
SAMBA: Safe Model-Based & Active Reinforcement Learning Alexander I. Cowen-Rivers Daniel Palenicek Vincent Moens Mohammed Abdullah Aivar Sootla Jun Wang Haitham Bou-Ammar 75 45 0 12 Jun 2020
Neural Physicist: Learning Physical Dynamics from Image Sequences Baocheng Zhu Shijun Wang James Y. Zhang AI4CE 25 1 0 09 Jun 2020
NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces Miguel Jaques Michael G. Burke Timothy M. Hospedales DRL 66 20 0 02 Jun 2020
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals Henry Charlesworth Giovanni Montana OffRL 144 26 0 01 Jun 2020
Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network Takazumi Matsumoto Jun Tani DRL 54 28 0 27 May 2020
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments Sindhu Padakandla 70 153 0 19 May 2020
Mutual Information Maximization for Robust Plannable Representations Yiming Ding I. Clavera Pieter Abbeel 62 15 0 16 May 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee Younggyo Seo Seunghyun Lee Honglak Lee Jinwoo Shin 101 133 0 14 May 2020
Planning to Explore via Self-Supervised World Models Ramanan Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak SSL 88 412 0 12 May 2020
Planning from Images with Deep Latent Gaussian Process Dynamics Nathanael Bosch Jan Achterhold Laura Leal-Taixé J. Stückler 49 1 0 07 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 578 2,047 0 04 May 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 122 660 0 30 Apr 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 185 143 0 30 Apr 2020
Visual Grounding of Learned Physical Models Yunzhu Li Toru Lin Kexin Yi Daniel M. Bear Daniel L. K. Yamins Jiajun Wu J. Tenenbaum Antonio Torralba OOD OCL AI4CE PINN 88 82 0 28 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Ilya Kostrikov Denis Yarats Rob Fergus OffRL 129 793 0 28 Apr 2020
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization Homanga Bharadhwaj Kevin Xie Florian Shkurti 62 50 0 19 Apr 2020
Bootstrapped model learning and error correction for planning with uncertainty in model-based RL Alvaro Ovalle Simon Lucas 41 4 0 15 Apr 2020
A Review on Deep Learning Techniques for Video Prediction Sergiu Oprea P. Martinez-Gonzalez Alberto Garcia-Garcia John Alejandro Castro-Vargas S. Orts-Escolano Jose Garcia-Rodriguez Antonis Argyros 107 256 0 10 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 126 1,093 0 08 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 84 26 0 06 Apr 2020
Model-based actor-critic: GAN (model generator) + DRL (actor-critic) => AGI Aras R. Dargazany OffRL AI4CE 13 1 0 04 Apr 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 96 125 0 24 Mar 2020
Neural Game Engine: Accurate learning of generalizable forward models from pixels Chris Bamford Simon Lucas OCL 37 13 0 23 Mar 2020
Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation M. Lippi Petra Poklukar Michael C. Welle Anastasiia Varava Hang Yin Alessandro Marino Danica Kragic 108 58 0 19 Mar 2020
Neuroevolution of Self-Interpretable Agents Yujin Tang Duong Nguyen David R Ha 120 113 0 18 Mar 2020
An Adversarial Objective for Scalable Exploration Bernadette Bucher Karl Schmeckpeper Nikolai Matni Kostas Daniilidis 52 2 0 13 Mar 2020
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation Wilson Yan Ashwin Vangipuram Pieter Abbeel Lerrel Pinto 108 191 0 11 Mar 2020
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems Taisuke Kobayashis BDL DRL 91 18 0 04 Mar 2020
Predictive Coding for Locally-Linear Control Rui Shu Tung D. Nguyen Yinlam Chow Tu Pham Khoat Than Mohammad Ghavamzadeh Stefano Ermon Hung Bui OffRL BDL 101 25 0 02 Mar 2020
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference Masashi Okada Norio Kosaka T. Taniguchi 61 43 0 01 Mar 2020
Reinforcement Learning through Active Inference Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley AI4CE 73 71 0 28 Feb 2020
Hallucinative Topological Memory for Zero-Shot Visual Planning Kara Liu Thanard Kurutach Christine Tung Pieter Abbeel Aviv Tamar 84 48 0 27 Feb 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions Elise van der Pol Thomas Kipf F. Oliehoek Max Welling 76 80 0 27 Feb 2020
Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image Tae Won Kim Yeseong Park Youngbin Park I. Suh DRL OffRL 47 9 0 27 Feb 2020
Optimistic Exploration even with a Pessimistic Initialisation Tabish Rashid Bei Peng Wendelin Bohmer Shimon Whiteson OffRL OnRL 69 45 0 26 Feb 2020
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI S. Risi Mike Preuss 77 57 0 24 Feb 2020