Deep reinforcement learning-based incomplete information game method, device, system and storage medium
A reinforcement learning and incomplete technology, applied in the field of artificial intelligence, can solve problems such as complex tasks, lack of solutions, untimely acquisition of reward signals, etc., to achieve effective exploration and improve solution efficiency
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[0029] The invention discloses an incomplete information game method based on deep reinforcement learning. The invention formulates a new reward signal supplementary mechanism through experiments and improvements on related deep reinforcement learning algorithms, and combines it with target detection technology to apply it to 3D incomplete information video game agent game algorithm, so that the machine can realize the decision-making process from perception to action and the ability of self-learning and exploration like human beings.
[0030] The present invention takes machine game and deep reinforcement learning algorithm as the main research contents, adopts the incomplete information 3D video game of Doom as the test platform of intelligent body game level, and studies the value model, strategy gradient, scope of application, efficiency problem and memory mechanism in reinforcement learning And the problem of sparse reward value is analyzed, and the limitations of related de...
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