IEEE

Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Mapless Navigation by Leveraging Prior Demonstrations

Abstract: This letter presents a case study of a learning-based approach for target-driven mapless navigation. The underlying navigation model is an end-to-end neural network, which is trained using a ...
IEEE

Generative Adversarial Imitation Learning-Based Continuous Learning Computational Guidance

Abstract: This article proposes a generative adversarial imitation learning-based continuous learning computational guidance (GAIL-CLCG) to improve missile guidance capability. Conventional analytical ...