Home /Research /Hierarchical reinforcement learning for motion learning: learning 'stand-up' trajectories

LEARNING

Hierarchical reinforcement learning for motion learning: learning 'stand-up' trajectories

Jun Morimoto, Kenji Doya

Year: 1998
Citations: 14

Abstract

(1998). Hierarchical reinforcement learning for motion learning: learning 'stand-up' trajectories. Advanced Robotics: Vol. 13, No. 3, pp. 267-268.

Keywords

Reinforcement learningMotion (physics)Artificial intelligenceComputer scienceLearning classifier systemMachine learningActive learning (machine learning)

Hierarchical reinforcement learning for motion learning: learning 'stand-up' trajectories

Abstract

Keywords

Related papers

Statistical Learning Theory

Artificial intelligence: a modern approach

Applied Nonlinear Control

A new optimizer using particle swarm theory