Accelerate Reinforcement Learning with PID Controllers in the Pendulum Simulations

2022-10-03 · Liping Bai

We propose a Proportional Integral Derivative (PID) controller-based coaching scheme to expedite reinforcement learning (RL).

📄 PDF Abstract BibTeX arXiv:2210.00770

Code (1)

BaiLiping/Coaching 공식 구현 pytorch

Tasks

reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)

Adaptive Control of an Inverted Pendulum by a Reinforcement Learning-based LQR Method

2023-09-30 · Ugur Yildiran

Inverted pendulums constitute one of the popular systems for benchmarking control algorithms. Several methods have been proposed for the control of this system, the majority of which rely on the availability of a mathema…

Benchmarking Reinforcement Learning (RL)

Proximal Reliability Optimization for Reinforcement Learning

2019-06-03 · Narendra Patwardhan, Zequn Wang

Despite the numerous advances, reinforcement learning remains away from widespread acceptance for autonomous controller design as compared to classical methods due to lack of ability to effectively tackle the reality gap…

reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)

Nonlinear Controller Design for a Quadrotor with Inverted Pendulum

2023-08-04 · Xichen Shi, Yashwanth Kumar Nakka

The quadrotor is a $6$ degrees-of-freedom (DoF) system with underactuation. Adding a spherical pendulum on top of a quadrotor further complicates the task of achieving any output tracking while stabilizing the rest. In t…

Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization

2022-07-29 · Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara

Deep reinforcement learning with domain randomization learns a control policy in various simulations with randomized physical and sensor model parameters to become transferable to the real world in a zero-shot setting. H…

Deep Reinforcement Learning MuJoCo reinforcement-learning Reinforcement Learning (RL)+1

Experimental Study on Reinforcement Learning-based Control of an Acrobot

2020-11-18 · Leo Dostal, Alexej Bespalko, Daniel A. Duecker

We present computational and experimental results on how artificial intelligence (AI) learns to control an Acrobot using reinforcement learning (RL). Thereby the experimental setup is designed as an embedded system, whic…

Acrobot reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)