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Multi-Agent Reinforcement Learning Algorithm Based on Action Prediction
Authors:TONG Liang and LU Ji-lian
Affiliation:School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China;School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China
Abstract:Multi-agent reinforcement learning algorithms are studied.A prediction-based multi-agent reinforcement learning algorithm is presented for multi-robot cooperation task.The multi-robot cooperation experiment based on multi-agent inverted pendulum is made to test the efficency of the new algorithm,and the experiment results show that the new algorithm can achieve the cooperation strategy much faster than the primitive multi-agent reinforcement learning algorithm.
Keywords:multi-agent system  reinforcement learning  action prediction  robot
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