Hierarchical Reinforcement Learning Framework in Geographic Coordination for Air Combat Tactical Pursuit
Ruihai Chen,
Hao Li,
Guanwei Yan
et al.
Abstract:This paper proposes an air combat training framework based on hierarchical reinforcement learning to address the problem of non-convergence in training due to the curse of dimensionality caused by the large state space during air combat tactical pursuit. Using hierarchical reinforcement learning, three-dimensional problems can be transformed into two-dimensional problems, improving training performance compared to other baselines. To further improve the overall learning performance, a meta-learning-based algor… Show more
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