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. 1707.07399
  4. Cited By
Learning for Multi-robot Cooperation in Partially Observable Stochastic
  Environments with Macro-actions
v1v2 (latest)

Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions

24 July 2017
Miao Liu
Kavinayan Sivakumar
Shayegan Omidshafiei
Chris Amato
Jonathan P. How
ArXiv (abs)PDFHTML

Papers citing "Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions"

13 / 13 papers shown
Title
HDDLGym: A Tool for Studying Multi-Agent Hierarchical Problems Defined in HDDL with OpenAI Gym
HDDLGym: A Tool for Studying Multi-Agent Hierarchical Problems Defined in HDDL with OpenAI Gym
Ngoc La
Ruaridh Mon-Williams
Julie A. Shah
26
0
0
28 May 2025
Uncertainty-Aware Planning for Heterogeneous Robot Teams using Dynamic Topological Graphs and Mixed-Integer Programming
Uncertainty-Aware Planning for Heterogeneous Robot Teams using Dynamic Topological Graphs and Mixed-Integer Programming
Cora A. Dimmig
Kevin C. Wolfe
Marin Kobilarov
Joseph Moore
Joseph L. Moore
146
1
0
12 Oct 2023
A Multi-Robot Task Assignment Framework for Search and Rescue with
  Heterogeneous Teams
A Multi-Robot Task Assignment Framework for Search and Rescue with Heterogeneous Teams
Hamid Osooli
Paul Robinette
Kshitij Jerath
S. Ahmadzadeh
51
4
0
22 Sep 2023
Formal Modelling for Multi-Robot Systems Under Uncertainty
Formal Modelling for Multi-Robot Systems Under Uncertainty
Charlie Street
Masoumeh Mansouri
Bruno Lacerda
80
0
0
26 May 2023
Sample-Efficient Reinforcement Learning of Partially Observable Markov
  Games
Sample-Efficient Reinforcement Learning of Partially Observable Markov Games
Qinghua Liu
Csaba Szepesvári
Chi Jin
114
21
0
02 Jun 2022
Learning Scalable Policies over Graphs for Multi-Robot Task Allocation
  using Capsule Attention Networks
Learning Scalable Policies over Graphs for Multi-Robot Task Allocation using Capsule Attention Networks
Steve Paul
P. Ghassemi
Souma Chowdhury
65
23
0
06 May 2022
A Multi-UAV System for Exploration and Target Finding in Cluttered and
  GPS-Denied Environments
A Multi-UAV System for Exploration and Target Finding in Cluttered and GPS-Denied Environments
Xiaolong Zhu
F. Vanegas
Felipe Gonzalez
Conrad Sanderson
78
15
0
19 Jul 2021
Centralized Model and Exploration Policy for Multi-Agent RL
Centralized Model and Exploration Policy for Multi-Agent RL
Qizhen Zhang
Chris Xiaoxuan Lu
Animesh Garg
Jakob N. Foerster
72
15
0
14 Jul 2021
Macro-Action-Based Deep Multi-Agent Reinforcement Learning
Macro-Action-Based Deep Multi-Agent Reinforcement Learning
Yuchen Xiao
Joshua Hoffman
Chris Amato
AI4CE
72
29
0
18 Apr 2020
Barrier Functions for Multiagent-POMDPs with DTL Specifications
Barrier Functions for Multiagent-POMDPs with DTL Specifications
M. Ahmadi
Andrew W. Singletary
J. W. Burdick
Aaron D. Ames
97
14
0
19 Mar 2020
Context-Aware Deep Q-Network for Decentralized Cooperative
  Reconnaissance by a Robotic Swarm
Context-Aware Deep Q-Network for Decentralized Cooperative Reconnaissance by a Robotic Swarm
N. Mohanty
M. S. Gadde
Suresh Sundaram
N. Sundararajan
P. B. Sujit
68
3
0
31 Jan 2020
Multi-Agent Common Knowledge Reinforcement Learning
Multi-Agent Common Knowledge Reinforcement Learning
Christian Schroeder de Witt
Jakob N. Foerster
Gregory Farquhar
Philip Torr
Wendelin Bohmer
Shimon Whiteson
102
108
0
27 Oct 2018
Decentralized Cooperative Planning for Automated Vehicles with
  Hierarchical Monte Carlo Tree Search
Decentralized Cooperative Planning for Automated Vehicles with Hierarchical Monte Carlo Tree Search
Karl Kurzer
Chenyan Zhou
Johann Marius Zöllner
54
37
0
25 Jul 2018
1