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Gated Path Planning Networks

Gated Path Planning Networks

17 June 2018
Lisa Lee
Emilio Parisotto
Devendra Singh Chaplot
Eric P. Xing
Ruslan Salakhutdinov
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Papers citing "Gated Path Planning Networks"

20 / 20 papers shown
Title
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
74
1
0
16 Dec 2024
Highway Value Iteration Networks
Highway Value Iteration Networks
Yuhui Wang
Weida Li
Francesco Faccio
Qingyuan Wu
Jürgen Schmidhuber
32
2
0
05 Jun 2024
E(2)-Equivariant Graph Planning for Navigation
E(2)-Equivariant Graph Planning for Navigation
Linfeng Zhao
Hongyu Li
T. Padır
Huaizu Jiang
Lawson L. S. Wong
21
6
0
22 Sep 2023
Can Euclidean Symmetry be Leveraged in Reinforcement Learning and
  Planning?
Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning?
Linfeng Zhao
Owen Howell
Jung Yeon Park
Xu Zhu
Robin G. Walters
Lawson L. S. Wong
23
1
0
17 Jul 2023
Continuous Neural Algorithmic Planners
Continuous Neural Algorithmic Planners
Yu He
Petar Velivcković
Pietro Lio'
Andreea Deac
16
5
0
29 Nov 2022
Reducing Collision Checking for Sampling-Based Motion Planning Using
  Graph Neural Networks
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks
Chen-Ping Yu
Sicun Gao
24
47
0
17 Oct 2022
Learning-based Motion Planning in Dynamic Environments Using GNNs and
  Temporal Encoding
Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding
Ruipeng Zhang
Chenning Yu
Jingkai Chen
Chuchu Fan
Sicun Gao
AI4CE
33
15
0
16 Oct 2022
[Re] Differentiable Spatial Planning using Transformers
[Re] Differentiable Spatial Planning using Transformers
R. Ranjan
Himadri Bhakta
Animesh Jha
Parv Maheshwari
Debashish Chakravarty
11
0
0
19 Aug 2022
Integrating Symmetry into Differentiable Planning with Steerable
  Convolutions
Integrating Symmetry into Differentiable Planning with Steerable Convolutions
Linfeng Zhao
Xu Zhu
Lingzhi Kong
Robin G. Walters
Lawson L. S. Wong
20
8
0
08 Jun 2022
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving
  Simulation
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation
Maximilian Igl
Daewoo Kim
Alex Kuefler
Paul Mougin
Punit Shah
K. Shiarlis
Drago Anguelov
Mark Palatucci
Brandyn White
Shimon Whiteson
19
64
0
06 May 2022
Neural Algorithmic Reasoners are Implicit Planners
Neural Algorithmic Reasoners are Implicit Planners
Andreea Deac
Petar Velivcković
Ognjen Milinković
Pierre-Luc Bacon
Jian Tang
Mladen Nikolic
OffRL
26
23
0
11 Oct 2021
PathBench: A Benchmarking Platform for Classical and Learned Path
  Planning Algorithms
PathBench: A Benchmarking Platform for Classical and Learned Path Planning Algorithms
Alexandru Toma
Hao-Ya Hsueh
H. Jaafar
Riku Murai
Paul H. J. Kelly
Sajad Saeedi
11
20
0
04 May 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
27
114
0
05 Mar 2021
Plan2Vec: Unsupervised Representation Learning by Latent Plans
Plan2Vec: Unsupervised Representation Learning by Latent Plans
Ge Yang
Amy Zhang
Ari S. Morcos
Joelle Pineau
Pieter Abbeel
Roberto Calandra
SSL
OffRL
19
27
0
07 May 2020
Deep compositional robotic planners that follow natural language
  commands
Deep compositional robotic planners that follow natural language commands
Yen-Ling Kuo
Boris Katz
Andrei Barbu
LM&Ro
21
22
0
12 Feb 2020
NeoNav: Improving the Generalization of Visual Navigation via Generating
  Next Expected Observations
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations
Qiaoyun Wu
Dinesh Manocha
Jun Wang
Kai Xu
8
15
0
17 Jun 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement
  Learning
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
11
284
0
12 Jun 2019
Learning to Plan in High Dimensions via Neural Exploration-Exploitation
  Trees
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees
Binghong Chen
Bo Dai
Qinjie Lin
Guo Ye
Han Liu
Le Song
16
51
0
28 Feb 2019
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks
  and Visual Cortex
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Q. Liao
T. Poggio
206
255
0
13 Apr 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
224
7,902
0
13 Jun 2015
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