Transfer Learning for Multiagent Reinforcement Learning Systems (Synthesis Lectures on Artificial Intelligence and Machine Learning)
by Felipe Leno Da Silva, Anna Helena Reali Costa
This lecture explores transfer learning techniques to enhance performance and efficiency in multiagent reinforcement learning systems.
About This Book
This book examines transfer learning methods applied to multiagent reinforcement learning environments.
It addresses challenges in knowledge reuse across different agents and tasks.
The work is part of the Synthesis Lectures on Artificial Intelligence and Machine Learning series.
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