Learning Latent Dynamics for Planning from Pixels

12 November 2018

Papers citing "Learning Latent Dynamics for Planning from Pixels"

50 / 397 papers shown

Title
On The Transferability of Deep-Q Networks M. Sabatelli Pierre Geurts 37 2 0 06 Oct 2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks Robert McCarthy Qiang Wang S. Redmond OffRL 32 15 0 05 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models M. Lutter Jan Peters PINN AI4CE 35 39 0 05 Oct 2021
Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning Jing Bi Jiebo Luo Chenliang Xu 76 48 0 05 Oct 2021
Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning Elie Aljalbout Maximilian Ulmer Rudolph Triebel 24 2 0 02 Oct 2021
Learning Dynamics Models for Model Predictive Agents M. Lutter Leonard Hasenclever Arunkumar Byravan Gabriel Dulac-Arnold Piotr Trochim N. Heess J. Merel Yuval Tassa AI4CE 57 26 0 29 Sep 2021
Making Curiosity Explicit in Vision-based RL Elie Aljalbout Maximilian Ulmer Rudolph Triebel OffRL 34 2 0 28 Sep 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Bohan Wu Suraj Nair Li Fei-Fei Chelsea Finn OffRL LM&Ro 45 24 0 21 Sep 2021
Dropout's Dream Land: Generalization from Learned Simulators to Reality Zac Wellmer James T. Kwok SyDa 24 9 0 17 Sep 2021
Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning Constantinos Chamzas M. Lippi Michael C. Welle Anastasia Varava Lydia E. Kavraki Danica Kragic SSL DRL OffRL 56 4 0 14 Sep 2021
Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration Haobo Jiang Jin Xie J. Qian Jian Yang 3DPC 31 10 0 05 Aug 2021
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control Xin-Yang Liu Jian-Xun Wang AI4CE 31 38 0 31 Jul 2021
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning Denis Yarats Rob Fergus A. Lazaric Lerrel Pinto OffRL 36 338 0 20 Jul 2021
Visual Adversarial Imitation Learning using Variational Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn SSL 28 49 0 16 Jul 2021
Backprop-Free Reinforcement Learning with Active Neural Generative Coding Alexander Ororbia A. Mali 41 15 0 10 Jul 2021
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks Albert Wilcox Ashwin Balakrishna Brijen Thananjeyan Joseph E. Gonzalez Ken Goldberg 29 11 0 10 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 36 111 0 07 Jul 2021
Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning Kaiqi Chen Yong Lee Harold Soh SSL 33 20 0 06 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen H. Su Xiaolong Wang OffRL 34 134 0 01 Jul 2021
Learning Task Informed Abstractions Xiang Fu Ge Yang Pulkit Agrawal Tommi Jaakkola 34 65 0 29 Jun 2021
Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL Catherine Cang Aravind Rajeswaran Pieter Abbeel Michael Laskin OffRL 32 29 0 16 Jun 2021
Which Mutual-Information Representation Learning Objectives are Sufficient for Control? Kate Rakelly Abhishek Gupta Carlos Florensa Sergey Levine SSL 26 38 0 14 Jun 2021
Temporal Predictive Coding For Model-Based Planning In Latent Space Tung D. Nguyen Rui Shu Tu Pham Hung Bui Stefano Ermon OffRL 32 56 0 14 Jun 2021
Exploration and preference satisfaction trade-off in reward-free learning Noor Sajid P. Tigas Alexey Zakharov Z. Fountas Karl J. Friston 22 20 0 08 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning Tao Yu Cuiling Lan Wenjun Zeng Mingxiao Feng Zhizheng Zhang Zhibo Chen OffRL 20 46 0 08 Jun 2021
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation Evgenii Nikishin Romina Abachi Rishabh Agarwal Pierre-Luc Bacon OffRL 52 35 0 06 Jun 2021
Did I do that? Blame as a means to identify controlled effects in reinforcement learning Oriol Corcoll Youssef Mohamed Raul Vicente 24 3 0 01 Jun 2021
Learning First-Order Representations for Planning from Black-Box States: New Results I. D. Rodriguez Blai Bonet J. Romero Hector Geffner NAI 17 22 0 23 May 2021
DriveGAN: Towards a Controllable High-Quality Neural Simulation S. Kim Jonah Philion Antonio Torralba Sanja Fidler 29 109 0 30 Apr 2021
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects Xiao Ma David Hsu W. Lee AI4CE 34 28 0 25 Apr 2021
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning Luis Pineda Brandon Amos Amy Zhang Nathan Lambert Roberto Calandra OffRL 30 46 0 20 Apr 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills Yevgen Chebotar Karol Hausman Yao Lu Ted Xiao Dmitry Kalashnikov ... A. Irpan Benjamin Eysenbach Ryan Julian Chelsea Finn Sergey Levine SSL OffRL 34 146 0 15 Apr 2021
Online and Offline Reinforcement Learning by Planning with a Learned Model Julian Schrittwieser Thomas Hubert Amol Mandhane M. Barekatain Ioannis Antonoglou David Silver OffRL 31 114 0 13 Apr 2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos Annie S. Chen Suraj Nair Chelsea Finn 38 137 0 31 Mar 2021
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL Iretiayo Akinola Zizhao Wang Peter K. Allen 37 2 0 24 Mar 2021
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning Yunbo Wang Haixu Wu Jianjin Zhang Zhifeng Gao Jianmin Wang Philip S. Yu Mingsheng Long 28 380 0 17 Mar 2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks Zhou Xian Shamit Lal H. Tung Emmanouil Antonios Platanios Katerina Fragkiadaki AI4CE 33 23 0 17 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Thanh Nguyen Tung M. Luu Thang Vu Chang D. Yoo 23 17 0 15 Mar 2021
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots T. Taniguchi Hiroshi Yamakawa Takayuki Nagai Kenji Doya M. Sakagami Masahiro Suzuki Tomoaki Nakamura Akira Taniguchi 28 23 0 15 Mar 2021
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing Axel Brunnbauer Luigi Berducci Andreas Brandstätter Mathias Lechner Ramin Hasani Daniela Rus Radu Grosu LM&Ro 38 38 0 08 Mar 2021
Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects Zehang Weng Fabian Paus Anastasiia Varava Hang Yin Tamim Asfour Danica Kragic AI4CE 16 18 0 04 Mar 2021
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings Lili Chen Kimin Lee A. Srinivas Pieter Abbeel OffRL 24 11 0 04 Mar 2021
Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap M. Lippi Petra Poklukar Michael C. Welle Anastasia Varava Hang Yin Alessandro Marino Danica Kragic 21 13 0 03 Mar 2021
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction Hongyao Tang Jianye Hao Guangyong Chen Pengfei Chen Chong Chen Yaodong Yang Lu Zhang Wulong Liu Zhaopeng Meng OffRL 35 4 0 03 Mar 2021
Return-Based Contrastive Representation Learning for Reinforcement Learning Guoqing Liu Chuheng Zhang Li Zhao Tao Qin Jinhua Zhu Jian Li Nenghai Yu Tie-Yan Liu SSL OffRL 19 47 0 22 Feb 2021
CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels Yongqian Xiao Xin Xu Yifei Shi 22 9 0 19 Feb 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 28 14 0 18 Feb 2021
Model-free Representation Learning and Exploration in Low-rank MDPs Aditya Modi Jinglin Chen A. Krishnamurthy Nan Jiang Alekh Agarwal OffRL 102 78 0 14 Feb 2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators Anish Agarwal Abdullah Alomar Varkey Alumootil Devavrat Shah Dennis Shen Zhi Xu Cindy Yang OffRL 18 18 0 13 Feb 2021
Machine Learning for Mechanical Ventilation Control Daniel Suo Naman Agarwal Wenhan Xia Xinyi Chen Udaya Ghai ... J. LaChance Tom Zadjel Manuel Schottdorf Daniel J. Cohen Elad Hazan OOD AI4CE 54 10 0 12 Feb 2021