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TransfQMix: Transformers for Leveraging the Graph Structure of
  Multi-Agent Reinforcement Learning Problems

TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems

13 January 2023
Matteo Gallici
Mario Martin
Ivan Masmitja
    OffRL
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Papers citing "TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems"

2 / 2 papers shown
Title
Scaling Multi Agent Reinforcement Learning for Underwater Acoustic Tracking via Autonomous Vehicles
Scaling Multi Agent Reinforcement Learning for Underwater Acoustic Tracking via Autonomous Vehicles
Matteo Gallici
Ivan Masmitja
Mario Martin
OffRL
26
0
0
13 May 2025
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
213
1,367
0
06 Jun 2016
1