Learning Parsimonious Dynamics for Generalization in Reinforcement Learning

29 September 2022

Papers citing "Learning Parsimonious Dynamics for Generalization in Reinforcement Learning"

21 / 21 papers shown

Title
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 111 861 0 05 Oct 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 91 1,091 0 08 Apr 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 443 10,591 0 17 Feb 2020
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 124 1,371 0 03 Dec 2019
Soft Actor-Critic for Discrete Action Settings Petros Christodoulou OffRL 141 299 0 16 Oct 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 85 382 0 01 Jul 2019
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat DRL 62 66 0 30 Mar 2019
Model-Based Reinforcement Learning for Atari Lukasz Kaiser Mohammad Babaeizadeh Piotr Milos B. Osinski R. Campbell ... Sergey Levine Afroz Mohiuddin Ryan Sepassi George Tucker Henryk Michalewski OffRL 132 866 0 01 Mar 2019
Towards a Definition of Disentangled Representations I. Higgins David Amos David Pfau S. Racanière Loic Matthey Danilo Jimenez Rezende Alexander Lerchner OCL DRL 103 480 0 05 Dec 2018
A micro Lie theory for state estimation in robotics J. Solà Jeremie Deray Dinesh Atchuthan 48 412 0 04 Dec 2018
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 1,446 0 12 Nov 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 121 950 0 04 Sep 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 330 10,349 0 10 Jul 2018
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization Christopher J. Cueva Xue-Xin Wei 48 216 0 21 Mar 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 314 8,396 0 04 Jan 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 228 5,061 0 02 Nov 2017
Learning to Navigate in Complex Environments Piotr Wojciech Mirowski Razvan Pascanu Fabio Viola Hubert Soyer Andy Ballard ... Ross Goroshin Laurent Sifre Koray Kavukcuoglu D. Kumaran R. Hadsell 107 880 0 11 Nov 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 82 847 0 24 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 593 12,713 0 11 Dec 2014
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 384 3,151 0 15 Aug 2013