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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
Clockwork Variational Autoencoders Vaibhav Saxena Jimmy Ba Danijar Hafner VGen DRL 90 49 0 18 Feb 2021
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models Q. Wang H. V. Hoof OffRL 60 20 0 16 Feb 2021
Steadily Learn to Drive with Virtual Memory Yuhang Zhang Yao Mu Yujie Yang Yang Guan Shengbo Eben Li Qi Sun Jianyu Chen 40 1 0 16 Feb 2021
Neuro-algorithmic Policies enable Fast Combinatorial Generalization Marin Vlastelica Michal Rolínek Georg Martius 64 17 0 15 Feb 2021
Model-free Representation Learning and Exploration in Low-rank MDPs Aditya Modi Jinglin Chen A. Krishnamurthy Nan Jiang Alekh Agarwal OffRL 167 81 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 76 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 126 10 0 12 Feb 2021
Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision Julien Scholz C. Weber Muhammad Burhan Hafez S. Wermter 38 3 0 10 Feb 2021
Measuring Progress in Deep Reinforcement Learning Sample Efficiency Florian E. Dorner 50 13 0 09 Feb 2021
Continuous-Time Model-Based Reinforcement Learning Çağatay Yıldız Markus Heinonen Harri Lähdesmäki OffRL 65 58 0 09 Feb 2021
Unlocking Pixels for Reinforcement Learning via Implicit Attention K. Choromanski Deepali Jain Wenhao Yu Xingyou Song Jack Parker-Holder ... Aldo Pacchiano Anirban Santara Yunhao Tang Jie Tan Adrian Weller OffRL 50 3 0 08 Feb 2021
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature Kefan Dong Jiaqi Yang Tengyu Ma 97 33 0 08 Feb 2021
Tactical Optimism and Pessimism for Deep Reinforcement Learning Theodore H. Moskovitz Jack Parker-Holder Aldo Pacchiano Michael Arbel Michael I. Jordan 88 59 0 07 Feb 2021
Keep it Simple: Data-efficient Learning for Controlling Complex Systems with Simple Models Thomas Power Dmitry Berenson 67 16 0 04 Feb 2021
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos Haoyu Xiong Quanzhou Li Yun-Chun Chen Homanga Bharadhwaj Samarth Sinha Animesh Garg SSL 188 100 0 18 Jan 2021
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models Justin Bayer Maximilian Soelch Atanas Mirchev Baris Kayalibay Patrick van der Smagt 117 15 0 18 Jan 2021
Closing the Planning-Learning Loop with Application to Autonomous Driving Panpan Cai David Hsu 79 14 0 11 Jan 2021
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels Austin Stone Oscar Ramirez K. Konolige Rico Jonschkowski 179 102 0 07 Jan 2021
Constrained Block Nonlinear Neural Dynamical Models Elliott Skomski Soumya Vasisht Colby Wight Aaron Tuor Ján Drgoňa D. Vrabie AI4CE 107 16 0 06 Jan 2021
Reinforcement Learning with Latent Flow Wenling Shang Xiaofei Wang A. Srinivas Aravind Rajeswaran Yang Gao Pieter Abbeel Michael Laskin OffRL 75 23 0 06 Jan 2021
Model-Based Visual Planning with Self-Supervised Functional Distances Stephen Tian Suraj Nair F. Ebert Sudeep Dasari Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 220 60 0 30 Dec 2020
IIRC: Incremental Implicitly-Refined Classification Mohamed Abdelsalam Mojtaba Faramarzi Shagun Sodhani A. Chandar CLL 51 29 0 23 Dec 2020
Offline Reinforcement Learning from Images with Latent Space Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn OffRL 86 129 0 21 Dec 2020
Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning Mohammad Babaeizadeh M. Saffar Danijar Hafner Harini Kannan Chelsea Finn Sergey Levine D. Erhan VLM 52 9 0 08 Dec 2020
Reset-Free Lifelong Learning with Skill-Space Planning Kevin Lu Aditya Grover Pieter Abbeel Igor Mordatch CLL OffRL 99 38 0 07 Dec 2020
Planning from Pixels using Inverse Dynamics Models Keiran Paster Sheila A. McIlraith Jimmy Ba BDL 72 41 0 04 Dec 2020
Intervention Design for Effective Sim2Real Transfer Melissa Mozifian Amy Zhang Joelle Pineau David Meger 43 9 0 03 Dec 2020
Latent Skill Planning for Exploration and Transfer Kevin Xie Homanga Bharadhwaj Danijar Hafner Animesh Garg Florian Shkurti 95 20 0 27 Nov 2020
DeepKoCo: Efficient latent planning with a task-relevant Koopman representation B. V. D. Heijden L. Ferranti Jens Kober Robert Babuška 39 7 0 25 Nov 2020
World Model as a Graph: Learning Latent Landmarks for Planning Lunjun Zhang Ge Yang Bradly C. Stadie DRL 81 74 0 25 Nov 2020
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs Cheng Wang Carolin (Haas) Lawrence Mathias Niepert UQCV 58 10 0 24 Nov 2020
Multimodal dynamics modeling for off-road autonomous vehicles J. Tremblay Travis Manderson Aurélio Noca Gregory Dudek David Meger 78 17 0 23 Nov 2020
Evolutionary Planning in Latent Space Thor V.A.N. Olesen Dennis Nguyen Rasmus Berg Palm S. Risi BDL OffRL 13 5 0 23 Nov 2020
Explaining Conditions for Reinforcement Learning Behaviors from Real and Imagined Data Aastha Acharya Rebecca L. Russell Nisar R. Ahmed OffRL 40 4 0 17 Nov 2020
Deep Affordance Foresight: Planning Through What Can Be Done in the Future Danfei Xu Ajay Mandlekar Roberto Martín-Martín Yuke Zhu Silvio Savarese Li Fei-Fei 91 72 0 17 Nov 2020
Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning Jung-Su Ha Young-Jin Park Hyeok-Joo Chae Soon-Seo Park Han-Lim Choi 110 3 0 16 Nov 2020
Towards Learning Controllable Representations of Physical Systems Kevin Haninger R. Vicente-Garcia J. Krüger 53 1 0 16 Nov 2020
Predictive Coding, Variational Autoencoders, and Biological Connections Joseph Marino DRL AI4CE 80 45 0 15 Nov 2020
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation Xingyu Lin Yufei Wang Jake Olkin David Held 97 218 0 14 Nov 2020
Learning Latent Representations to Influence Multi-Agent Interaction Annie Xie Dylan P. Losey R. Tolsma Chelsea Finn Dorsa Sadigh DRL 187 134 0 12 Nov 2020
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators H. Tung Xian Zhou Mihir Prabhudesai Shamit Lal Katerina Fragkiadaki 82 28 0 12 Nov 2020
Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning Jun Jin D. Graves Cameron Haigh Jun Luo Martin Jägersand SSL OffRL 51 6 0 11 Nov 2020
Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics Ján Drgoňa Aaron Tuor V. Chandan D. Vrabie AI4CE 89 121 0 11 Nov 2020
Learning World Transition Model for Socially Aware Robot Navigation Yuxiang Cui Haodong Zhang Yue Wang R. Xiong 71 17 0 08 Nov 2020
MAGIC: Learning Macro-Actions for Online POMDP Planning Yiyuan Lee Panpan Cai David Hsu 142 23 0 07 Nov 2020
Low-Variance Policy Gradient Estimation with World Models Michal Nauman Floris den Hengst OffRL 49 1 0 29 Oct 2020
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles Tim Seyde Wilko Schwarting S. Karaman Daniela Rus 92 14 0 27 Oct 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models Tony Zhao Anusha Nagabandi Kate Rakelly Chelsea Finn Sergey Levine OffRL 104 35 0 26 Oct 2020
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning Younggyo Seo Kimin Lee I. Clavera Thanard Kurutach Jinwoo Shin Pieter Abbeel 81 39 0 26 Oct 2020
XLVIN: eXecuted Latent Value Iteration Nets Andreea Deac Petar Velivcković Ognjen Milinković Pierre-Luc Bacon Jian Tang Mladen Nikolic 63 19 0 25 Oct 2020