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. 2204.12181
  4. Cited By
Collaborative Target Search with a Visual Drone Swarm: An Adaptive
  Curriculum Embedded Multistage Reinforcement Learning Approach
v1v2v3 (latest)

Collaborative Target Search with a Visual Drone Swarm: An Adaptive Curriculum Embedded Multistage Reinforcement Learning Approach

26 April 2022
Jiaping Xiao
Phumrapee Pisutsin
Mir Feroskhan
ArXiv (abs)PDFHTMLGithub (47★)

Papers citing "Collaborative Target Search with a Visual Drone Swarm: An Adaptive Curriculum Embedded Multistage Reinforcement Learning Approach"

16 / 16 papers shown
Title
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Michael O'Connell
Guanya Shi
Xichen Shi
Kamyar Azizzadenesheli
Anima Anandkumar
Yisong Yue
Soon-Jo Chung
133
176
0
13 May 2022
Drone swarm patrolling with uneven coverage requirements
Drone swarm patrolling with uneven coverage requirements
C. Piciarelli
G. Foresti
AI4TS
29
9
0
01 Jul 2021
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games
Chao Yu
Akash Velu
Eugene Vinitsky
Jiaxuan Gao
Yu Wang
Alexandre M. Bayen
Yi Wu
OffRL
139
1,252
0
02 Mar 2021
PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent
  Learning -- Lifelong
PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Lifelong
Mehul Damani
Zhiyao Luo
Emerson Wenzel
Guillaume Sartoretti
AI4CE
140
126
0
16 Oct 2020
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNNVLMCLLAI4CELRM
169
1,824
0
13 Dec 2019
Solving Rubik's Cube with a Robot Hand
Solving Rubik's Cube with a Robot Hand
OpenAI
Ilge Akkaya
Marcin Andrychowicz
Maciek Chociej
Ma-teusz Litwin
...
Peter Welinder
Lilian Weng
Qiming Yuan
Wojciech Zaremba
Lei Zhang
ODL
116
1,230
0
16 Oct 2019
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement
  Learning
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
Jiachen Yang
A. Nakhaei
David Isele
K. Fujimura
H. Zha
66
77
0
13 Sep 2018
PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning
PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning
Guillaume Sartoretti
Justin Kerr
Yunfei Shi
Glenn Wagner
T. K. S. Kumar
Sven Koenig
Howie Choset
102
317
0
10 Sep 2018
Learning Dexterous In-Hand Manipulation
Learning Dexterous In-Hand Manipulation
OpenAI OpenAI
Marcin Andrychowicz
Bowen Baker
Maciek Chociej
Rafal Jozefowicz
...
Szymon Sidor
Joshua Tobin
Peter Welinder
Lilian Weng
Wojciech Zaremba
153
1,880
0
01 Aug 2018
Multi-agent Time-based Decision-making for the Search and Action Problem
Multi-agent Time-based Decision-making for the Search and Action Problem
Takahiro Miki
Marija Popović
Abel Gawel
Gregory Hitz
Roland Siegwart
32
13
0
27 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted
  Actor-Learner Architectures
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
L. Espeholt
Hubert Soyer
Rémi Munos
Karen Simonyan
Volodymyr Mnih
...
Vlad Firoiu
Tim Harley
Iain Dunning
Shane Legg
Koray Kavukcuoglu
220
1,600
0
05 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
311
8,352
0
04 Jan 2018
Deep Reinforcement Learning that Matters
Deep Reinforcement Learning that Matters
Peter Henderson
Riashat Islam
Philip Bachman
Joelle Pineau
Doina Precup
David Meger
OffRL
118
1,954
0
19 Sep 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
257
2,966
0
20 Mar 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
189
597
0
28 Feb 2017
Learning to Navigate in Complex Environments
Learning to Navigate in Complex Environments
Piotr Wojciech Mirowski
Razvan Pascanu
Fabio Viola
Hubert Soyer
Andy Ballard
...
Ross Goroshin
Laurent Sifre
Koray Kavukcuoglu
D. Kumaran
R. Hadsell
107
880
0
11 Nov 2016
1