Gradient descent Sarsa(?)algorithm based on the adaptive potential function shaping reward mechanism
In the reinforcement leaning tasks with continuous state spaces,the algorithms are usually facing the problems of ill initial performance and low convergence speed.In order to solve these problems,the potential function shaping reward mechanism was proposed to improve the reinforcement learning algo...
Saved in:
Main Authors: | Fei XIAO, Quan LIU, Qi-ming FU, Hong-kun SUN, Long GAO |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2013-01-01
|
Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/1000-436X(2013)01-0077-12/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Function approximation method based on weights gradient descent in reinforcement learning
by: Xiaoyan QIN, et al.
Published: (2023-08-01) -
Variable-Parameter Impedance Control of Manipulator Based on RBFNN and Gradient Descent
by: Linshen Li, et al.
Published: (2024-12-01) -
Forest fire risk assessment model optimized by stochastic average gradient descent
by: Zexin Fu, et al.
Published: (2025-01-01) -
HPRS: hierarchical potential-based reward shaping from task specifications
by: Luigi Berducci, et al.
Published: (2025-02-01) -
Smoothing gradient descent algorithm for the composite sparse optimization
by: Wei Yang, et al.
Published: (2024-11-01)