Li Mo

Supervision-Enhanced Deep Reinforcement Learning for Hybrid Action in BVR Engagement

Deep reinforcement learning has gained increasing popularity in the beyond visual range engagement of unmanned combat aerial vehicles. Regardless of the success of the maneuvering decision, existing methods either utilize sparse rewards to optimize fire control or adopt a predefined fire policy, sev