Mutual Information Maximization for Robust Plannable Representations

16 May 2020

Pieter Abbeel

Papers citing "Mutual Information Maximization for Robust Plannable Representations"

23 / 23 papers shown

Title
Benchmarking Model-Based Reinforcement Learning Tingwu Wang Xuchan Bao I. Clavera Jerrick Hoang Yeming Wen Eric D. Langlois Matthew Shunshi Zhang Guodong Zhang Pieter Abbeel Jimmy Ba OffRL 59 363 0 03 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 80 380 0 01 Jul 2019
Shaping Belief States with Generative Environment Models for RL Karol Gregor Danilo Jimenez Rezende F. Besse Yan Wu Hamza Merzic Aaron van den Oord OffRL AI4CE 82 119 0 21 Jun 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 51 254 0 19 Jun 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 155 2,399 0 13 Jun 2019
Learning Video Representations using Contrastive Bidirectional Transformer Chen Sun Fabien Baradel Kevin Patrick Murphy Cordelia Schmid SSL ViT 109 134 0 13 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views Philip Bachman R. Devon Hjelm William Buchwalter SSL 189 1,472 0 03 Jun 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding Olivier J. Hénaff A. Srinivas J. Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aaron van den Oord SSL 119 1,427 0 22 May 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 127 860 0 01 Mar 2019
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control F. Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine SSL 108 386 0 03 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 86 1,436 0 12 Nov 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine 57 211 0 02 Oct 2018
Time-Agnostic Prediction: Predicting Predictable Video Frames Dinesh Jayaraman F. Ebert Alexei A. Efros Sergey Levine 73 93 0 23 Aug 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 315 2,661 0 20 Aug 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 306 10,284 0 10 Jul 2018
World Models David R Ha Jürgen Schmidhuber SyDa 119 1,083 0 27 Mar 2018
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 133 1,134 0 02 Jan 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 226 5,008 0 02 Nov 2017
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 112 398 0 24 May 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 68 845 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 84 1,259 0 07 Jun 2015
From Pixels to Torques: Policy Learning with Deep Dynamical Models Niklas Wahlström Thomas B. Schon M. Deisenroth 72 189 0 08 Feb 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 450 16,933 0 20 Dec 2013