ResearchTrend.AI
Solving Multi-Entity Robotic Problems Using Permutation Invariant Neural Networks

Solving Multi-Entity Robotic Problems Using Permutation Invariant Neural Networks

Tianxu An
Joonho Lee
Marko Bjelonic
Flavio De Vincenti
Marco Hutter
ArXiv (abs)PDFHTML

Papers citing "Solving Multi-Entity Robotic Problems Using Permutation Invariant Neural Networks"

4 / 4 papers shown
Title
Multi-Quadruped Cooperative Object Transport: Learning Decentralized Pinch-Lift-Move
Multi-Quadruped Cooperative Object Transport: Learning Decentralized Pinch-Lift-Move
Bikram Pandit
Aayam Shrestha
Alan Fern
16
0
0
17 Sep 2025
Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining
Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining
Yaru Niu
Yunzhe Zhang
Mingyang Yu
Changyi Lin
Chenhao Li
...
Bingqing Chen
Jonathan M Francis
Zhenzhen Li
Jie Tan
Ding Zhao
157
3
0
19 Jun 2025
MARLadona -- Towards Cooperative Team Play Using Multi-Agent Reinforcement Learning
MARLadona -- Towards Cooperative Team Play Using Multi-Agent Reinforcement Learning
Zichong Li
Filip Bjelonic
Victor Klemm
Marco Hutter
155
7
0
30 Sep 2024
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Yihe Zhou
Shunyu Liu
Yunpeng Qing
Kaixuan Chen
Tongya Zheng
Jie Song
Mingli Song
93
30
0
27 May 2023

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.