POAR: Efficient Policy Optimization via Online Abstract State Representation Learning

Zhaorun Chen, Siqi Fan, Yuan Tan +6

While the rapid progress of deep learning fuels end-to-end reinforcement learning (RL), direct application, especially in high-dimensional space like robotic scenarios still suffer…