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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
Data-Assisted Vision-Based Hybrid Control for Robust Stabilization with Obstacle Avoidance via Learning of Perception Maps Alejandro Murillo-González J. Poveda 30 1 0 04 Sep 2022
Multi-Step Prediction in Linearized Latent State Spaces for Representation Learning A. Tytarenko BDL 66 1 0 02 Sep 2022
Transformers are Sample-Efficient World Models Vincent Micheli Eloi Alonso Franccois Fleuret VLM OffRL 185 189 0 01 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 162 24 0 01 Sep 2022
The Alignment Problem from a Deep Learning Perspective Richard Ngo Lawrence Chan Sören Mindermann 137 192 0 30 Aug 2022
Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data N. Botteghi Mengwu Guo C. Brune 103 11 0 27 Aug 2022
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review N. Botteghi M. Poel C. Brune SSL OffRL 95 13 0 27 Aug 2022
Efficient Planning in a Compact Latent Action Space Zhengyao Jiang Tianjun Zhang Michael Janner Yueying Li Tim Rocktaschel Edward Grefenstette Yuandong Tian OffRL 84 40 0 22 Aug 2022
Wildfire Forecasting with Satellite Images and Deep Generative Model T. Hoang Sang Truong Chris Schmidt VGen 27 0 0 19 Aug 2022
Teacher Guided Training: An Efficient Framework for Knowledge Transfer Manzil Zaheer A. S. Rawat Seungyeon Kim Chong You Himanshu Jain Andreas Veit Rob Fergus Surinder Kumar VLM 70 2 0 14 Aug 2022
Deep Billboards towards Lossless Real2Sim in Virtual Reality Naruya Kondo So Kuroki Ryosuke Hyakuta Yutaka Matsuo S. Gu Yoichi Ochiai 22 2 0 08 Aug 2022
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model Taisuke Kobayashi Ryoma Watanuki DRL 87 7 0 08 Aug 2022
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning Shuang Qiu Lingxiao Wang Chenjia Bai Zhuoran Yang Zhaoran Wang SSL OffRL 120 32 0 29 Jul 2022
Planning and Learning: Path-Planning for Autonomous Vehicles, a Review of the Literature Kevin Osanlou Christophe Guettier Tristan Cazenave Éric Jacopin 64 3 0 26 Jul 2022
Modelling non-reinforced preferences using selective attention Noor Sajid P. Tigas Zafeirios Fountas Qinghai Guo Alexey Zakharov Lancelot Da Costa 58 1 0 25 Jul 2022
Adaptive Asynchronous Control Using Meta-learned Neural Ordinary Differential Equations Achkan Salehi Steffen Rühl Stéphane Doncieux AI4CE 86 2 0 25 Jul 2022
Learning Deformable Object Manipulation from Expert Demonstrations G. Salhotra Isabella Liu Marcus Dominguez-Kuhne Gaurav Sukhatme 67 31 0 20 Jul 2022
Making Linear MDPs Practical via Contrastive Representation Learning Tianjun Zhang Zhaolin Ren Mengjiao Yang Joseph E. Gonzalez Dale Schuurmans Bo Dai 72 44 0 14 Jul 2022
The Free Energy Principle for Perception and Action: A Deep Learning Perspective Pietro Mazzaglia Tim Verbelen Ozan Çatal Bart Dhoedt DRL AI4CE 58 33 0 13 Jul 2022
Unsupervised learning of observation functions in state-space models by nonparametric moment methods Qi An Yannis G. Kevrekidis Fei Lu Mauro Maggioni 36 2 0 12 Jul 2022
A survey of multimodal deep generative models Masahiro Suzuki Y. Matsuo SyDa DRL 79 81 0 05 Jul 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 112 38 0 03 Jul 2022
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios Vaisakh Shaj Le Chen Rohit Sonker P. Becker Gerhard Neumann 80 8 0 29 Jun 2022
Masked World Models for Visual Control Younggyo Seo Danijar Hafner Hao Liu Fangchen Liu Stephen James Kimin Lee Pieter Abbeel OffRL 177 149 0 28 Jun 2022
DayDreamer: World Models for Physical Robot Learning Philipp Wu Alejandro Escontrela Danijar Hafner Ken Goldberg Pieter Abbeel 126 302 0 28 Jun 2022
Causal Dynamics Learning for Task-Independent State Abstraction Zizhao Wang Xuesu Xiao Zifan Xu Yuke Zhu Peter Stone CML 80 58 0 27 Jun 2022
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning Yang Yue Bingyi Kang Zhongwen Xu Gao Huang Shuicheng Yan OffRL 92 13 0 25 Jun 2022
Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning Trevor A. McInroe Lukas Schafer Stefano V. Albrecht 71 4 0 22 Jun 2022
Latent Policies for Adversarial Imitation Learning Tianyu Wang Nikhil Karnwal Nikolay Atanasov 47 5 0 22 Jun 2022
Variational Causal Dynamics: Discovering Modular World Models from Interventions Anson Lei Bernhard Schölkopf Ingmar Posner CML 57 9 0 22 Jun 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 118 110 0 19 Jun 2022
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer Yao Mu Shoufa Chen Mingyu Ding Jianyu Chen Runjian Chen Ping Luo ViT 77 9 0 17 Jun 2022
BYOL-Explore: Exploration by Bootstrapped Prediction Z. Guo S. Thakoor Miruna Pislar Bernardo Avila-Pires Florent Altché ... Yunhao Tang Michal Valko Rémi Munos M. G. Azar Bilal Piot 106 73 0 16 Jun 2022
Diffusion Models for Video Prediction and Infilling Tobias Höppe Arash Mehrjou Stefan Bauer Didrik Nielsen Andrea Dittadi DiffM VGen 101 137 0 15 Jun 2022
Learning to Accelerate Partial Differential Equations via Latent Global Evolution Tailin Wu Takashi Maruyama J. Leskovec AI4CE 101 34 0 15 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 110 164 0 15 Jun 2022
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning Nicolas Castanet Sylvain Lamprier Olivier Sigaud 62 4 0 14 Jun 2022
Learning Model Preconditions for Planning with Multiple Models A. LaGrassa Oliver Kroemer 81 8 0 11 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? Xiang Li Jinghuan Shang Srijan Das Michael S. Ryoo SSL 104 33 0 10 Jun 2022
Adversarial Counterfactual Environment Model Learning Xiong-Hui Chen Yang Yu Zhenghong Zhu Zhihua Yu Zhen-Yu Chen ... Yinan Wu Hongqiu Wu Rongjun Qin Rui Ding Fangsheng Huang CML OffRL 91 12 0 10 Jun 2022
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations Cong Lu Philip J. Ball Tim G. J. Rudner Jack Parker-Holder Michael A. Osborne Yee Whye Teh OffRL 132 54 0 09 Jun 2022
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning Jinpei Guo Biwei Huang Dacheng Tao 66 20 0 09 Jun 2022
Deep Hierarchical Planning from Pixels Danijar Hafner Kuang-Huei Lee Ian S. Fischer Pieter Abbeel 76 95 0 08 Jun 2022
Active Inference for Robotic Manipulation Tim Schneider Boris Belousov Hany Abdulsamad Jan Peters 51 4 0 01 Jun 2022
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning Qiang He Huangyuan Su Jieyu Zhang Xinwen Hou OOD OffRL 54 7 0 29 May 2022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Remo Sasso M. Sabatelli M. Wiering 95 9 0 28 May 2022
AANG: Automating Auxiliary Learning Lucio Dery Paul Michel M. Khodak Graham Neubig Ameet Talwalkar 107 9 0 27 May 2022
Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models Minting Pan Xiangming Zhu Yunbo Wang Xiaokang Yang 101 42 0 27 May 2022
Scalable Multi-Agent Model-Based Reinforcement Learning Vladimir Egorov A. Shpilman 85 27 0 25 May 2022
Flow-based Recurrent Belief State Learning for POMDPs Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 85 19 0 23 May 2022