ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2105.09637
  4. Cited By
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
v1v2 (latest)

Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation

20 May 2021
Sam Devlin
Raluca Georgescu
Ida Momennejad
Jaroslaw Rzepecki
Evelyn Zuniga
Gavin Costello
Guy Leroy
A. Shaw
Katja Hofmann
ArXiv (abs)PDFHTML

Papers citing "Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation"

14 / 14 papers shown
Title
Deep Reinforcement Learning for Navigation in AAA Video Games
Deep Reinforcement Learning for Navigation in AAA Video Games
Eloi Alonso
Maxim Peter
David Goumard
Joshua Romoff
47
36
0
09 Nov 2020
Object Goal Navigation using Goal-Oriented Semantic Exploration
Object Goal Navigation using Goal-Oriented Semantic Exploration
Devendra Singh Chaplot
Dhiraj Gandhi
Abhinav Gupta
Ruslan Salakhutdinov
94
516
0
01 Jul 2020
Unsupervised Reinforcement Learning of Transferable Meta-Skills for
  Embodied Navigation
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
Juncheng Li
Xinze Wang
Siliang Tang
Haizhou Shi
Leilei Gan
Yueting Zhuang
William Yang Wang
SSL
80
69
0
18 Nov 2019
Learning to Contextually Aggregate Multi-Source Supervision for Sequence
  Labeling
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling
Ouyu Lan
Xiao Huang
Bill Yuchen Lin
He Jiang
Liyuan Liu
Xiang Ren
SSL
43
30
0
09 Oct 2019
Adversarial CAPTCHAs
Adversarial CAPTCHAs
Chenghui Shi
Xiaogang Xu
S. Ji
Kai Bu
Jianhai Chen
R. Beyah
Ting Wang
AAML
39
53
0
04 Jan 2019
Variational Discriminator Bottleneck: Improving Imitation Learning,
  Inverse RL, and GANs by Constraining Information Flow
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow
Xue Bin Peng
Angjoo Kanazawa
Sam Toyer
Pieter Abbeel
Sergey Levine
73
216
0
01 Oct 2018
On Evaluation of Embodied Navigation Agents
On Evaluation of Embodied Navigation Agents
Peter Anderson
Angel X. Chang
Devendra Singh Chaplot
Alexey Dosovitskiy
Saurabh Gupta
...
Jana Kosecka
Jitendra Malik
Roozbeh Mottaghi
Manolis Savva
Amir Zamir
117
798
0
18 Jul 2018
Sequence Aggregation Rules for Anomaly Detection in Computer Network
  Traffic
Sequence Aggregation Rules for Anomaly Detection in Computer Network Traffic
Benjamin J. Radford
B. Richardson
Shawn E. Davis
AI4TS
38
57
0
09 May 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
499
19,065
0
20 Jul 2017
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
Yunzhu Li
Jiaming Song
Stefano Ermon
59
44
0
26 Mar 2017
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
254
2,966
0
20 Mar 2017
Generative Adversarial Imitation Learning
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
149
3,115
0
10 Jun 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.6K
100,386
0
04 Sep 2014
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CEAIMat
251
6,779
0
03 Sep 2014
1