Transformer-Based Offline Reinforcement Learning for Intelligent Torpedo Evasion in Autonomous Underwater Vehicles
Results indicate that the proposed framework offers a conservative and computationally deployable offline learning approach for safety-critical underwater autonomous systems, while the present validation is confined to a custom simulation environment, so that operational deployment remains contingent on the hardware-in...