CLI-PPO: A Memory-Augmented PPO Framework with Intrinsic Curiosity and Curriculum Learning for Mapless Multi-Obstacle Navigation
A Curriculum Learning and Intrinsic Curiosity-enhanced Temporal Proximal Policy Optimization framework, referred to as CLI-PPO, for end-to-end autonomous navigation, where an LSTM network improves sequential decision-making under partial observability, an Intrinsic Curiosity Module enhances exploration in unfamiliar re...