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Neural Map: Structured Memory for Deep Reinforcement Learning

Neural Map: Structured Memory for Deep Reinforcement Learning

27 February 2017
Emilio Parisotto
Ruslan Salakhutdinov
ArXivPDFHTML

Papers citing "Neural Map: Structured Memory for Deep Reinforcement Learning"

50 / 69 papers shown
Title
Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach
Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach
Steeven Janny
Hervé Poirier
L. Antsfeld
G. Bono
G. Monaci
Boris Chidlovskii
Francesco Giuliari
Alessio Del Bue
Christian Wolf
LM&Ro
58
0
0
11 Mar 2025
CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging
CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging
Md. Ashraful Islam
Mohammed Eunus Ali
Md. Rizwan Parvez
LLMAG
68
2
0
08 Feb 2025
Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors
Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors
Jingyang Ke
Feiyang Wu
Jiyi Wang
Jeffrey Markowitz
Anqi Wu
84
0
0
22 Jan 2025
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down
  Maps
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps
Linfeng Zhao
Lawson L. S. Wong
82
1
0
16 Dec 2024
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
Cong Lu
Shengran Hu
Jeff Clune
LLMAG
47
10
0
24 May 2024
MemoNav: Working Memory Model for Visual Navigation
MemoNav: Working Memory Model for Visual Navigation
Hongxin Li
Zeyu Wang
Xueke Yang
Yu-Ren Yang
Shuqi Mei
Zhaoxiang Zhang
44
5
0
29 Feb 2024
Learning to navigate efficiently and precisely in real environments
Learning to navigate efficiently and precisely in real environments
G. Bono
Hervé Poirier
L. Antsfeld
G. Monaci
Boris Chidlovskii
Christian Wolf
21
2
0
25 Jan 2024
Multi-Object Navigation in real environments using hybrid policies
Multi-Object Navigation in real environments using hybrid policies
Assem Sadek
G. Bono
Boris Chidlovskii
A. Baskurt
Christian Wolf
47
5
0
24 Jan 2024
AllTogether: Investigating the Efficacy of Spliced Prompt for Web Navigation using Large Language Models
Jiarun Liu
Wentao Hu
Chunhong Zhang
30
2
0
20 Oct 2023
Fast exploration and learning of latent graphs with aliased observations
Fast exploration and learning of latent graphs with aliased observations
Miguel Lazaro-Gredilla
Ishani Deshpande
Siva K. Swaminathan
Meet Dave
Dileep George
23
3
0
13 Mar 2023
PRISM: Probabilistic Real-Time Inference in Spatial World Models
PRISM: Probabilistic Real-Time Inference in Spatial World Models
Atanas Mirchev
Baris Kayalibay
Ahmed Agha
Patrick van der Smagt
Daniel Cremers
Justin Bayer
VGen
28
0
0
06 Dec 2022
Navigating to Objects in the Real World
Navigating to Objects in the Real World
Théophile Gervet
Soumith Chintala
Dhruv Batra
Jitendra Malik
Devendra Singh Chaplot
41
122
0
02 Dec 2022
Continuous Episodic Control
Continuous Episodic Control
Zhao Yang
Thomas M. Moerland
Mike Preuss
Aske Plaat
OffRL
24
3
0
28 Nov 2022
Multi-Object Navigation with dynamically learned neural implicit
  representations
Multi-Object Navigation with dynamically learned neural implicit representations
Pierre Marza
L. Matignon
Olivier Simonin
Christian Wolf
35
23
0
11 Oct 2022
Local-Global Context Aware Transformer for Language-Guided Video
  Segmentation
Local-Global Context Aware Transformer for Language-Guided Video Segmentation
Chen Liang
Wenguan Wang
Tianfei Zhou
Jiaxu Miao
Yawei Luo
Yi Yang
VOS
29
74
0
18 Mar 2022
Navigating to Objects in Unseen Environments by Distance Prediction
Navigating to Objects in Unseen Environments by Distance Prediction
Minzhao Zhu
Binglei Zhao
Tao Kong
18
32
0
08 Feb 2022
Tracking and Planning with Spatial World Models
Tracking and Planning with Spatial World Models
Baris Kayalibay
Atanas Mirchev
Patrick van der Smagt
Justin Bayer
46
2
0
25 Jan 2022
Coupling Vision and Proprioception for Navigation of Legged Robots
Coupling Vision and Proprioception for Navigation of Legged Robots
Zipeng Fu
Ashish Kumar
Ananye Agarwal
Haozhi Qi
Jitendra Malik
Deepak Pathak
21
73
0
03 Dec 2021
Agent-Centric Relation Graph for Object Visual Navigation
Agent-Centric Relation Graph for Object Visual Navigation
X. Hu
Youfang Lin
Shuo Wang
Zhihao Wu
Kai Lv
39
19
0
29 Nov 2021
SASRA: Semantically-aware Spatio-temporal Reasoning Agent for
  Vision-and-Language Navigation in Continuous Environments
SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments
Muhammad Zubair Irshad
Niluthpol Chowdhury Mithun
Zachary Seymour
Han-Pang Chiu
S. Samarasekera
Rakesh Kumar
LM&Ro
26
49
0
26 Aug 2021
Hierarchical Representations and Explicit Memory: Learning Effective
  Navigation Policies on 3D Scene Graphs using Graph Neural Networks
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
Teaching Agents how to Map: Spatial Reasoning for Multi-Object
  Navigation
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation
Pierre Marza
L. Matignon
Olivier Simonin
Christian Wolf
42
23
0
13 Jul 2021
Learning to Map for Active Semantic Goal Navigation
Learning to Map for Active Semantic Goal Navigation
G. Georgakis
Bernadette Bucher
Karl Schmeckpeper
Siddharth Singh
Kostas Daniilidis
32
73
0
29 Jun 2021
Scene-Intuitive Agent for Remote Embodied Visual Grounding
Scene-Intuitive Agent for Remote Embodied Visual Grounding
Xiangru Lin
Guanbin Li
Yizhou Yu
LM&Ro
22
52
0
24 Mar 2021
MaAST: Map Attention with Semantic Transformersfor Efficient Visual
  Navigation
MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation
Zachary Seymour
Kowshik Thopalli
Niluthpol Chowdhury Mithun
Han-Pang Chiu
S. Samarasekera
Rakesh Kumar
3DPC
24
18
0
21 Mar 2021
Structured Scene Memory for Vision-Language Navigation
Structured Scene Memory for Vision-Language Navigation
Hanqing Wang
Wenguan Wang
Wei Liang
Caiming Xiong
Jianbing Shen
LM&Ro
32
114
0
05 Mar 2021
Memory-Augmented Reinforcement Learning for Image-Goal Navigation
Memory-Augmented Reinforcement Learning for Image-Goal Navigation
Lina Mezghani
Sainbayar Sukhbaatar
Thibaut Lavril
Oleksandr Maksymets
Dhruv Batra
Piotr Bojanowski
Alahari Karteek
29
69
0
13 Jan 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications
A Survey on Deep Reinforcement Learning for Audio-Based Applications
S. Latif
Heriberto Cuayáhuitl
Farrukh Pervez
Fahad Shamshad
Hafiz Shehbaz Ali
Min Zhang
OffRL
47
73
0
01 Jan 2021
Topological Planning with Transformers for Vision-and-Language
  Navigation
Topological Planning with Transformers for Vision-and-Language Navigation
Kevin Chen
Junshen K. Chen
Jo Chuang
Marynel Vázquez
Silvio Savarese
LM&Ro
27
99
0
09 Dec 2020
MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation
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
Learning Human Search Behavior from Egocentric Visual Inputs
Learning Human Search Behavior from Egocentric Visual Inputs
Maks Sorokin
Wenhao Yu
Sehoon Ha
Chenxi Liu
EgoV
27
3
0
06 Nov 2020
Semantic MapNet: Building Allocentric Semantic Maps and Representations
  from Egocentric Views
Semantic MapNet: Building Allocentric Semantic Maps and Representations from Egocentric Views
Vincent Cartillier
Zhile Ren
Neha Jain
Stefan Lee
Irfan Essa
Dhruv Batra
3DPC
11
73
0
02 Oct 2020
Occupancy Anticipation for Efficient Exploration and Navigation
Occupancy Anticipation for Efficient Exploration and Navigation
Santhosh Kumar Ramakrishnan
Ziad Al-Halah
Kristen Grauman
EgoV
3DPC
22
162
0
21 Aug 2020
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable
  Semantic Representations
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations
Abbas Sadat
Sergio Casas
Mengye Ren
Xinyu Wu
Pranaab Dhawan
R. Urtasun
3DV
38
191
0
13 Aug 2020
Learning Object-conditioned Exploration using Distributed Soft Actor
  Critic
Learning Object-conditioned Exploration using Distributed Soft Actor Critic
Ayzaan Wahid
Austin Stone
Kevin Chen
Brian Ichter
Alexander Toshev
24
22
0
29 Jul 2020
Evolving Graphical Planner: Contextual Global Planning for
  Vision-and-Language Navigation
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
Zhiwei Deng
Karthik Narasimhan
Olga Russakovsky
24
86
0
11 Jul 2020
Learning to plan with uncertain topological maps
Learning to plan with uncertain topological maps
E. Beeching
J. Dibangoye
Olivier Simonin
Christian Wolf
19
40
0
10 Jul 2020
Giving Commands to a Self-driving Car: A Multimodal Reasoner for Visual
  Grounding
Giving Commands to a Self-driving Car: A Multimodal Reasoner for Visual Grounding
Thierry Deruyttere
Guillem Collell
Marie-Francine Moens
LRM
16
8
0
19 Mar 2020
EgoMap: Projective mapping and structured egocentric memory for Deep RL
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
A Survey of Deep Reinforcement Learning in Video Games
A Survey of Deep Reinforcement Learning in Video Games
Kun Shao
Zhentao Tang
Yuanheng Zhu
Nannan Li
Dongbin Zhao
OffRL
AI4TS
43
188
0
23 Dec 2019
Simultaneous Mapping and Target Driven Navigation
Simultaneous Mapping and Target Driven Navigation
G. Georgakis
Yimeng Li
Jana Kosecka
17
16
0
18 Nov 2019
Where to Look Next: Unsupervised Active Visual Exploration on 360°
  Input
Where to Look Next: Unsupervised Active Visual Exploration on 360° Input
Soroush Seifi
Tinne Tuytelaars
24
10
0
23 Sep 2019
DRLViz: Understanding Decisions and Memory in Deep Reinforcement
  Learning
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning
Theo Jaunet
Romain Vuillemot
Christian Wolf
HAI
18
36
0
06 Sep 2019
Situational Fusion of Visual Representation for Visual Navigation
Situational Fusion of Visual Representation for Visual Navigation
Bokui (William) Shen
Danfei Xu
Yuke Zhu
Leonidas J. Guibas
Fei-Fei Li
Silvio Savarese
SSL
27
62
0
24 Aug 2019
EMPNet: Neural Localisation and Mapping Using Embedded Memory Points
EMPNet: Neural Localisation and Mapping Using Embedded Memory Points
Gil Avraham
Yan Zuo
Thanuja Dharmasiri
Tom Drummond
21
17
0
31 Jul 2019
Shaping Belief States with Generative Environment Models for RL
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
14
117
0
21 Jun 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
Yilun Du
Karthik Narasimhan
19
33
0
13 May 2019
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning
  Without a Supercomputer
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer
E. Beeching
Christian Wolf
J. Dibangoye
Olivier Simonin
OffRL
LRM
35
25
0
03 Apr 2019
Long Range Neural Navigation Policies for the Real World
Long Range Neural Navigation Policies for the Real World
Ayzaan Wahid
Alexander Toshev
Marek Fiser
T. Lee
24
17
0
23 Mar 2019
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
Kuan Fang
Alexander Toshev
Li Fei-Fei
Silvio Savarese
OffRL
13
199
0
09 Mar 2019
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