Enhanced LSTM‐DQN algorithm for a two‐player zero‐sum game in three‐dimensional space
Bo Lu,
Le Ru,
Maolong Lv
et al.
Abstract:To tackle the challenges presented by the two‐player zero sum game (TZSG) in three‐dimensional space, this study introduces an enhanced deep Q‐learning (DQN) algorithm that utilizes long short term memory (LSTM) network. The primary objective of this algorithm is to enhance the temporal correlation of the TZSG in three‐dimensional space. Additionally, it incorporates the hindsight experience replay (HER) mechanism to improve the learning efficiency of the network and mitigate the issue of the “sparse reward” t… Show more
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