ScholarWorks :: 이영삼

전체 75건 중 1번부터 10번까지의 결과를 표시합니다.

2025

Article

Reinforcement Learning to Achieve Real-time Control of a Quadruple Inverted Pendulum

Article

Sim-to-Real Reinforcement Learning for a Rotary Double-Inverted Pendulum Based on a Mathematical Model

Article

Transition Control of a Double-Inverted Pendulum System Using Sim2Real Reinforcement Learning

Article

Transition Control of a Rotary Double Inverted Pendulum Using Direct Collocation

Article

Development of a Reinforcement Learning-Based Control Education Platform Using Python and LW-RCP; [Python LW-RCP 과 를 이용한 강화학습 기반 제어 교육 플랫폼 개발]

Article

Implementation of 56 Transition Control of a Triple Inverted Pendulum Using Sim-to-Real Reinforcement Learning

Article

An Educational Platform for Real-Time Control and Reinforcement Learning Experiments Using Rotary Inverted Pendulum and LW-RCP

2024

Article

Adaptive time-delay estimation error compensation for application to robot manipulators

Article

Suppressing violent sloshing flow in food serving robots

Article

Reinforcement learning to achieve real-time control of triple inverted pendulum

상세 보기

이영삼

자료유형

발행연도

키워드

언어

Reinforcement Learning to Achieve Real-time Control of a Quadruple Inverted Pendulum

Sim-to-Real Reinforcement Learning for a Rotary Double-Inverted Pendulum Based on a Mathematical Model

Transition Control of a Double-Inverted Pendulum System Using Sim2Real Reinforcement Learning

Transition Control of a Rotary Double Inverted Pendulum Using Direct Collocation

Development of a Reinforcement Learning-Based Control Education Platform Using Python and LW-RCP; [Python LW-RCP 과 를 이용한 강화학습 기반 제어 교육 플랫폼 개발]

Implementation of 56 Transition Control of a Triple Inverted Pendulum Using Sim-to-Real Reinforcement Learning

An Educational Platform for Real-Time Control and Reinforcement Learning Experiments Using Rotary Inverted Pendulum and LW-RCP

Adaptive time-delay estimation error compensation for application to robot manipulators

Suppressing violent sloshing flow in food serving robots

Reinforcement learning to achieve real-time control of triple inverted pendulum