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Heteroscedastic Uncertainty for Robust Generative Latent Dynamics

18 August 2020

Papers citing "Heteroscedastic Uncertainty for Robust Generative Latent Dynamics"

23 / 23 papers shown

Title
Multimodal and Force-Matched Imitation Learning with a See-Through Visuotactile Sensor Trevor Ablett Oliver Limoyo Adam Sigal Affan Jilani Jonathan Kelly Kaleem Siddiqi F. Hogan Gregory Dudek 92 5 0 28 Jan 2025
Unsupervised Separation of Dynamics from Pixels Silvia Chiappa Ulrich Paquet OCL 52 4 0 20 Jul 2019
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 88 1,437 0 12 Nov 2018
Benchmarking Reinforcement Learning Algorithms on Real-World Robots A. R. Mahmood D. Korenkevych Gautham Vasan W. Ma James Bergstra OffRL 56 156 0 20 Sep 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 117 944 0 04 Sep 2018
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning Marco Fraccaro Simon Kamronn Ulrich Paquet Ole Winther BDL 71 283 0 16 Oct 2017
Robust Locally-Linear Controllable Embedding Ershad Banijamali Rui Shu Mohammad Ghavamzadeh Hung Bui A. Ghodsi BDL 54 95 0 15 Oct 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 840 5,821 0 05 Dec 2016
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 90 457 0 30 Sep 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 223 5,077 0 05 Jun 2016
Backprop KF: Learning Discriminative Deterministic State Estimators Tuomas Haarnoja Anurag Ajay Sergey Levine Pieter Abbeel 56 201 0 23 May 2016
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data Maximilian Karl Maximilian Sölch Justin Bayer Patrick van der Smagt BDL 51 375 0 20 May 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 92 484 0 20 Mar 2016
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images Manuel Watter Jost Tobias Springenberg Joschka Boedecker Martin Riedmiller BDL 82 846 0 24 Jun 2015
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 87 1,259 0 07 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 827 9,318 0 06 Jun 2015
DRAW: A Recurrent Neural Network For Image Generation Karol Gregor Ivo Danihelka Alex Graves Danilo Jimenez Rezende Daan Wierstra GAN DRL 168 1,961 0 16 Feb 2015
From Pixels to Torques: Policy Learning with Deep Dynamical Models Niklas Wahlström Thomas B. Schon M. Deisenroth 74 189 0 08 Feb 2015
Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions Yanshuai Cao David J. Fleet 44 186 0 28 Oct 2014
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 251 6,779 0 03 Sep 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,929 0 20 Dec 2013
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 127 12,231 0 19 Dec 2013
Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping R. Sutton Csaba Szepesvári A. Geramifard Michael Bowling OffRL 83 204 0 13 Jun 2012