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On the Use and Misuse of Absorbing States in Multi-agent Reinforcement
  Learning

On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning

10 November 2021
Andrew Cohen
Ervin Teng
Vincent-Pierre Berges
Ruo-Ping Dong
Hunter Henry
Marwan Mattar
Alexander Zook
Sujoy Ganguly
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Papers citing "On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning"

4 / 4 papers shown
Title
Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning
Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning
Feiyu Lu
Mengyu Chen
Hsiang Hsu
Pranav Deshpande
Cheng Yao Wang
Blair MacIntyre
30
3
0
30 Apr 2025
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement
Jiachen Yang
K. Mittal
T. Dzanic
S. Petrides
B. Keith
Brenden K. Petersen
D. Faissol
R. Anderson
23
8
0
02 Nov 2022
Multi-Agent Exploration of an Unknown Sparse Landmark Complex via Deep
  Reinforcement Learning
Multi-Agent Exploration of an Unknown Sparse Landmark Complex via Deep Reinforcement Learning
Xiatao Sun
Yuwei Wu
S. Bhattacharya
Vijay R. Kumar
6
2
0
23 Sep 2022
Hierarchical Control for Cooperative Teams in Competitive Autonomous
  Racing
Hierarchical Control for Cooperative Teams in Competitive Autonomous Racing
Rishabh Saumil Thakkar
Aryaman Singh Samyal
David Fridovich-Keil
Zhe Xu
Ufuk Topcu
20
8
0
27 Apr 2022
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