Playing Doom with SLAM-Augmented Deep Reinforcement Learning

Playing Doom with SLAM-Augmented Deep Reinforcement Learning

1 December 2016

Shehroze Bhatti

Alban Desmaison

Nantas Nardelli

Papers citing "Playing Doom with SLAM-Augmented Deep Reinforcement Learning"

19 / 19 papers shown

Title
Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural Networks Zachary Ravichandran Lisa Peng Nathan Hughes J. D. Griffith Luca Carlone 37 68 0 02 Aug 2021
MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation Saim Wani Shivansh Patel Unnat Jain Angel X. Chang Manolis Savva 34 104 0 07 Dec 2020
Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments M. Praeger Yunhui Xie J. Grant-Jacob R. Eason B. Mills 22 11 0 05 Nov 2020
Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning Jonáš Kulhánek Erik Derner Robert Babuška 31 40 0 21 Oct 2020
Learning to plan with uncertain topological maps E. Beeching J. Dibangoye Olivier Simonin Christian Wolf 19 40 0 10 Jul 2020
Spatial Action Maps for Mobile Manipulation Jimmy Wu Xingyuan Sun Andy Zeng Shuran Song Johnny Lee Szymon Rusinkiewicz Thomas Funkhouser 24 71 0 20 Apr 2020
EgoMap: Projective mapping and structured egocentric memory for Deep RL E. Beeching Christian Wolf J. Dibangoye Olivier Simonin EgoV 21 27 0 24 Jan 2020
Learning to Move with Affordance Maps William Qi Ravi Teja Mullapudi Saurabh Gupta Deva Ramanan 24 35 0 08 Jan 2020
Synthetic Data for Deep Learning Sergey I. Nikolenko 46 348 0 25 Sep 2019
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction Valts Blukis Dipendra Kumar Misra Ross A. Knepper Yoav Artzi 19 81 0 10 Nov 2018
ViZDoom Competitions: Playing Doom from Pixels Marek Wydmuch Michal Kempka Wojciech Ja'skowski 29 119 0 10 Sep 2018
Approximate Bayesian inference in spatial environments Atanas Mirchev Baris Kayalibay Maximilian Soelch Patrick van der Smagt Justin Bayer BDL 16 22 0 18 May 2018
Generative Temporal Models with Spatial Memory for Partially Observed Environments Marco Fraccaro Danilo Jimenez Rezende Yori Zwols Alexander Pritzel S. M. Ali Eslami Fabio Viola 31 28 0 25 Apr 2018
Automated Curriculum Learning by Rewarding Temporally Rare Events Niels Justesen S. Risi OffRL 35 20 0 19 Mar 2018
Global Pose Estimation with an Attention-based Recurrent Network Emilio Parisotto Devendra Singh Chaplot Jian Zhang Ruslan Salakhutdinov 26 70 0 19 Feb 2018
Teaching a Machine to Read Maps with Deep Reinforcement Learning Gino Brunner Oliver Richter Yuyi Wang Roger Wattenhofer 3DV 24 52 0 20 Nov 2017
Autoencoder-augmented Neuroevolution for Visual Doom Playing Samuel Alvernaz Julian Togelius 28 62 0 12 Jul 2017
Neural SLAM: Learning to Explore with External Memory Jingwei Zhang L. Tai Ming Liu Joschka Boedecker Wolfram Burgard 22 71 0 29 Jun 2017
Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness Nikolai Smolyanskiy A. Kamenev Jeffrey Smith Stan Birchfield 32 222 0 07 May 2017