most citedManeuver Decision-Making For Autonomous Air Combat Through Curriculum Learning And Reinforcement Learning With Sparse Rewards

1 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2023★ 1 cited

Maneuver Decision-Making Through Proximal Policy Optimization And Monte Carlo Tree Search

Zhang Hong-Peng

Maneuver decision-making can be regarded as a Markov decision process and can be address by reinforcement learning. However, original reinforcement learning algorithms can hardly s…

cs.AI2023

Maneuver Decision-Making Through Automatic Curriculum Reinforcement Learning Without Handcrafted Reward functions

Zhang Hong-Peng

Maneuver decision-making is the core of unmanned combat aerial vehicle for autonomous air combat. To solve this problem, we propose an automatic curriculum reinforcement learning m…

cs.AI2023★ 1 cited

Maneuver Decision-Making For Autonomous Air Combat Through Curriculum Learning And Reinforcement Learning With Sparse Rewards

Yu-Jie Wei, Hong-Peng Zhang, Chang-Qiang Huang

Reinforcement learning is an effective way to solve the decision-making problems. It is a meaningful and valuable direction to investigate autonomous air combat maneuver decision-m…