Online Attentive Kernel-Based Temporal Difference Learning

no code implementations • 22 Jan 2022 • Guang Yang, Xingguo Chen, Shangdong Yang, Huihui Wang, Shaokang Dong, Yang Gao

Moreover, in learning sparse representations, attention mechanisms are utilized to represent the degree of sparsification, and a smooth attentive function is introduced into the kernel-based VFA.

Acrobot Reinforcement Learning (RL)