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Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization

Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization

8 February 2025
Brandon Ho
Batuhan Altundas
Matthew C. Gombolay
ArXiv (abs)PDFHTML

Papers citing "Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization"

19 / 19 papers shown
Title
Motion Planning for Autonomous Driving: The State of the Art and Future
  Perspectives
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
Siyu Teng
Xuemin Hu
Peng Deng
Bai Li
Yuchen Li
...
Yunfeng Ai
Lingxi Li
Zhe Xuanyuan
F. Zhu
Long Chen
71
349
0
17 Mar 2023
Learning Coordination Policies over Heterogeneous Graphs for Human-Robot
  Teams via Recurrent Neural Schedule Propagation
Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation
Batuhan Altundas
Zheyuan Wang
Joshua Bishop
Matthew C. Gombolay
41
5
0
30 Jan 2023
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
63
49
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
65
17
0
16 Oct 2022
Athletic Mobile Manipulator System for Robotic Wheelchair Tennis
Athletic Mobile Manipulator System for Robotic Wheelchair Tennis
Z. Zaidi
Daniel Martin
Nathaniel Belles
Viacheslav Zakharov
Arjun Krishna
...
Nina Moorman
Rohan R. Paleja
Letian Chen
Esmaeil Seraj
Matthew C. Gombolay
151
13
0
05 Oct 2022
Path Planning using Neural A* Search
Path Planning using Neural A* Search
Ryo Yonetani
Tatsunori Taniai
M. Barekatain
Mai Nishimura
Asako Kanezaki
3DPC
93
96
0
16 Sep 2020
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement
  Learning in Mixed Dynamic Environments
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments
Zuxin Liu
Baiming Chen
Hongyi Zhou
G. Koushik
M. Hebert
Ding Zhao
AI4CE
82
87
0
30 Jul 2020
Graph Neural Networks for Motion Planning
Graph Neural Networks for Motion Planning
Arbaaz Khan
Alejandro Ribeiro
Vijay Kumar
Anthony G. Francis
53
32
0
11 Jun 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art
  Technologies
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
Yu Huang
Yue Chen
3DPC
119
85
0
10 Jun 2020
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep
  Reinforcement Learning
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning
A. Celli
Marco Ciccone
Raffaele Bongo
N. Gatti
45
12
0
16 Dec 2019
Graph Neural Networks for Decentralized Multi-Robot Path Planning
Graph Neural Networks for Decentralized Multi-Robot Path Planning
Qingbiao Li
Fernando Gama
Alejandro Ribeiro
Amanda Prorok
93
247
0
12 Dec 2019
A Survey of Deep Learning Techniques for Autonomous Driving
A Survey of Deep Learning Techniques for Autonomous Driving
Sorin Grigorescu
Bogdan Trasnea
Tiberiu T. Cocias
G. Macesanu
3DPC
83
1,397
0
17 Oct 2019
Reinforcement Learning with A* and a Deep Heuristic
Reinforcement Learning with A* and a Deep Heuristic
A. Keselman
S. Ten
A. Ghazali
Majed Jubeh
46
14
0
19 Nov 2018
Learning Sampling Distributions for Robot Motion Planning
Learning Sampling Distributions for Robot Motion Planning
Brian Ichter
James Harrison
Marco Pavone
54
353
0
16 Sep 2017
A Survey of Motion Planning and Control Techniques for Self-driving
  Urban Vehicles
A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles
B. Paden
Michal Cap
Sze Zheng Yong
Dmitry S. Yershov
Emilio Frazzoli
53
2,023
0
25 Apr 2016
Deep Reinforcement Learning in Parameterized Action Space
Deep Reinforcement Learning in Parameterized Action Space
Matthew J. Hausknecht
Peter Stone
52
308
0
13 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
Sampling-based Algorithms for Optimal Motion Planning
Sampling-based Algorithms for Optimal Motion Planning
S. Karaman
Emilio Frazzoli
102
4,693
0
05 May 2011
Incremental Sampling-based Algorithms for Optimal Motion Planning
Incremental Sampling-based Algorithms for Optimal Motion Planning
S. Karaman
Emilio Frazzoli
155
806
0
03 May 2010
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