PSO-guided exploration is added to MASAC and claimed to reduce training time for a 3-agent coverage planning task, without quantitative validation.
Then, the epsilon-greedy method is chosen to improve exploration during training and facilitate the incorporation of the PSO with the first version of the MASAC
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Towards Bio-inspired Heuristically Accelerated Reinforcement Learning for Adaptive Underwater Multi-Agents Behaviour
PSO-guided exploration is added to MASAC and claimed to reduce training time for a 3-agent coverage planning task, without quantitative validation.