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On the Sensory Commutativity of Action Sequences for Embodied Agents

13 February 2020

Papers citing "On the Sensory Commutativity of Action Sequences for Embodied Agents"

29 / 29 papers shown

Title
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 117 869 0 05 Oct 2020
JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments Roberto Martín-Martín Mihir Patel Hamid Rezatofighi Abhijeet Shenoi JunYoung Gwak P. Goebel A. Federman Silvio Savarese 52 23 0 25 Oct 2019
Towards Object Detection from Motion Rico Jonschkowski Austin Stone 34 2 0 17 Sep 2019
Video Object Segmentation using Space-Time Memory Networks Seoung Wug Oh Joon-Young Lee N. Xu Seon Joo Kim VOS 81 710 0 01 Apr 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
Towards a Definition of Disentangled Representations I. Higgins David Amos David Pfau S. Racanière Loic Matthey Danilo Jimenez Rezende Alexander Lerchner OCL DRL 108 480 0 05 Dec 2018
Learning Actionable Representations with Goal-Conditioned Policies Dibya Ghosh Abhishek Gupta Sergey Levine 69 110 0 19 Nov 2018
Exploration by Random Network Distillation Yuri Burda Harrison Edwards Amos Storkey Oleg Klimov 159 1,344 0 30 Oct 2018
Learning agent's spatial configuration from sensorimotor invariants Alban Laflaquière J. O'Regan S. Argentieri B. Gas A. Terekhov 36 34 0 03 Oct 2018
A Non-linear Approach to Space Dimension Perception by a Naive Agent Alban Laflaquière S. Argentieri Olivia Breysse Stéphane Genet B. Gas 33 24 0 03 Oct 2018
Learning an internal representation of the end-effector configuration space Alban Laflaquière A. Terekhov B. Gas J. O'Regan DRL 35 13 0 03 Oct 2018
Unsupervised Emergence of Spatial Structure from Sensorimotor Prediction Alban Laflaquière Michael Garcia Ortiz 34 3 0 02 Oct 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 121 953 0 04 Sep 2018
Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning Hugo Caselles-Dupré Louis Annabi Oksana Hagen Michael Garcia Ortiz David Filliat 62 13 0 03 Sep 2018
How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments Cédric Colas Olivier Sigaud Pierre-Yves Oudeyer 45 93 0 21 Jun 2018
Discovering space - Grounding spatial topology and metric regularity in a naive agent's sensorimotor experience Alban Laflaquière J. O'Regan B. Gas A. Terekhov 34 16 0 07 Jun 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,406 0 04 Jan 2018
Proximodistal Exploration in Motor Learning as an Emergent Property of Optimization F. Stulp Pierre-Yves Oudeyer 30 6 0 14 Dec 2017
Independently Controllable Factors Valentin Thomas Jules Pondard Emmanuel Bengio Marc Sarfati Philippe Beaudoin Marie-Jean Meurs Joelle Pineau Doina Precup Yoshua Bengio CML 65 69 0 03 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 535 19,265 0 20 Jul 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 274 2,337 0 05 Jul 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 116 2,451 0 15 May 2017
Independently Controllable Features Emmanuel Bengio Valentin Thomas Joelle Pineau Doina Precup Yoshua Bengio DRL 59 67 0 22 Mar 2017
DeepMind Lab Charlie Beattie Joel Z Leibo Denis Teplyashin Tom Ward Marcus Wainwright ... Stephen Gaffney Helen King Demis Hassabis Shane Legg Stig Petersen 50 241 0 12 Dec 2016
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning Michal Kempka Marek Wydmuch Grzegorz Runc Jakub Toczek Wojciech Ja'skowski 82 700 0 06 May 2016
FlowNet: Learning Optical Flow with Convolutional Networks Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser C. Hazirbas Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox 3DPC 316 4,180 0 26 Apr 2015
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 105 2,331 0 20 Oct 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 120 3,021 0 19 Jul 2012