Robust Locally-Linear Controllable Embedding

15 October 2017

Papers citing "Robust Locally-Linear Controllable Embedding"

30 / 30 papers shown

Title
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems Alejandro Castañeda Garcia Jan van Gemert Daan Brinks Nergis Tömen 43 0 0 02 Oct 2024
On the Geometry of Reinforcement Learning in Continuous State and Action Spaces Saket Tiwari Omer Gottesman George Konidaris 29 0 0 29 Dec 2022
Learning to Optimize in Model Predictive Control Jacob Sacks Byron Boots 37 22 0 05 Dec 2022
Learning Sampling Distributions for Model Predictive Control Jacob Sacks Byron Boots 18 21 0 05 Dec 2022
Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learning Tingting Zhao Ying Wang Weidong Sun Yarui Chen Gang Niu Masashi Sugiyama 19 1 0 23 Nov 2022
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning P. Becker Gerhard Neumann 30 9 0 17 Oct 2022
Dynamic Inference on Graphs using Structured Transition Models Saumya Saxena Oliver Kroemer AI4CE 49 0 0 29 Sep 2022
Data-Assisted Vision-Based Hybrid Control for Robust Stabilization with Obstacle Avoidance via Learning of Perception Maps Alejandro Murillo-González J. Poveda 13 1 0 04 Sep 2022
Linear Variational State-Space Filtering Daniel Pfrommer Nikolai Matni 30 1 0 04 Jan 2022
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 37 41 0 04 Nov 2021
Block Contextual MDPs for Continual Learning Shagun Sodhani Franziska Meier Joelle Pineau Amy Zhang CLL 41 26 0 13 Oct 2021
Learning Task Informed Abstractions Xiang Fu Ge Yang Pulkit Agrawal Tommi Jaakkola 34 65 0 29 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 57 0 14 Jun 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
End-to-end neural network approach to 3D reservoir simulation and adaptation E. Illarionov Pavel Temirchev D. Voloskov R. Kostoev M. Simonov D. Pissarenko D. Orlov Dmitri A. Koroteev OOD 28 20 0 20 Feb 2021
DeepKoCo: Efficient latent planning with a task-relevant Koopman representation B. V. D. Heijden L. Ferranti Jens Kober Robert Babuška 16 6 0 25 Nov 2020
Towards Learning Controllable Representations of Physical Systems Kevin Haninger R. Vicente-Garcia J. Krüger 31 1 0 16 Nov 2020
Learning the Linear Quadratic Regulator from Nonlinear Observations Zakaria Mhammedi Dylan J. Foster Max Simchowitz Dipendra Kumar Misra Wen Sun A. Krishnamurthy Alexander Rakhlin John Langford 12 28 0 08 Oct 2020
Exploration with Intrinsic Motivation using Object-Action-Outcome Latent Space M. Sener Y. Nagai Erhan Öztop Emre Ugur 14 0 0 26 Aug 2020
Heteroscedastic Uncertainty for Robust Generative Latent Dynamics Oliver Limoyo Bryan Chan Filip Marić Brandon Wagstaff Rupam Mahmood Jonathan Kelly 22 8 0 18 Aug 2020
Control-Aware Representations for Model-based Reinforcement Learning Brandon Cui Yinlam Chow Mohammad Ghavamzadeh BDL 18 13 0 24 Jun 2020
Planning from Images with Deep Latent Gaussian Process Dynamics Nathanael Bosch Jan Achterhold Laura Leal-Taixé J. Stückler 25 1 0 07 May 2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans Ge Yang Amy Zhang Ari S. Morcos Joelle Pineau Pieter Abbeel Roberto Calandra SSL OffRL 28 27 0 07 May 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 42 24 0 02 Mar 2020
Learning When to Trust a Dynamics Model for Planning in Reduced State Spaces D. Mcconachie Thomas Power Peter Mitrano Dmitry Berenson 31 35 0 29 Jan 2020
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 34 54 0 27 Sep 2019
Video Extrapolation with an Invertible Linear Embedding Robert Pottorff Jared Nielsen David Wingate 27 5 0 01 Mar 2019
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control Jeremy Morton F. Witherden Mykel J Kochenderfer 21 45 0 26 Feb 2019
Deep Neural Networks Predicting Oil Movement in a Development Unit Pavel Temirchev M. Simonov R. Kostoev Evgeny Burnaev Ivan Oseledets A. Akhmetov A. Margarit A. Sitnikov D. Koroteev AI4CE 16 50 0 08 Jan 2019
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning Marvin Zhang Sharad Vikram Laura M. Smith Pieter Abbeel Matthew J. Johnson Sergey Levine OffRL 23 41 0 28 Aug 2018