LJIR: Learning Joint-Action Intrinsic Reward in cooperative multi-agent reinforcement learning

Zihan Chen; Biao Luo; Tianmeng Hu; Xiaodong Xu

doi:10.1016/j.neunet.2023.08.016

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LJIR: Learning Joint-Action Intrinsic Reward in cooperative multi-agent reinforcement learning

Zihan Chen Biao Luo Tianmeng Hu Xiaodong Xu

Year: 2023 Journal: Neural Networks Vol: 167 Pages: 450-459 Publisher: Elsevier BV

DOI: 10.1016/j.neunet.2023.08.016

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Keywords:

Reinforcement learning Computer science Artificial intelligence Benchmark (surveying) Overfitting Joint (building) Machine learning Construct (python library) Artificial neural network Engineering

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Reinforcement Learning in Robotics

Physical Sciences → Computer Science → Artificial Intelligence

Autonomous Vehicle Technology and Safety

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Adaptive Dynamic Programming Control

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LJIR: Learning Joint-Action Intrinsic Reward in cooperative multi-agent reinforcement learning

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