Sim-to-Real: A Performance Comparison of PPO, TD3, and SAC Reinforcement Learning Algorithms for Quadruped Walking Gait Generation

ISSN Print: 2150-8402
ISSN Online: 2150-8410
www.scirp.org/journal/jilsa
E-mail: jilsa@scirp.org

Citations

"Sim-to-Real: A Performance Comparison of PPO, TD3, and SAC Reinforcement Learning Algorithms for Quadruped Walking Gait Generation"
written by James W. Mock, Suresh S. Muknahallipatna,
published by Journal of Intelligent Learning Systems and Applications, Vol.16 No.2, 2024

has been cited by the following article(s):

No relevant information.

[1]	Adaptive reinforcement learning for dynamic semiconductor wafer fabrication scheduling: A hybrid reward approach with online bootstrap Computers & Industrial Engineering, 2026 DOI:10.1016/j.cie.2025.111666

[2]	A Reinforcement Learning–Based Approach With Downside‐Risk Protection for Battery Dispatch in Day‐Ahead Markets International Transactions on Electrical Energy Systems, 2025 DOI:10.1155/etep/7939775

[3]	Deep Reinforcement Learning for Foundational Control of a Continuum Robot Towards Cooperative Manipulation 2025 7th Novel Intelligent and Leading Emerging Sciences Conference (NILES), 2025 DOI:10.1109/NILES68063.2025.11232046

[4]	PPO and SAC Reinforcement Learning Based Reference Compensation 2024 12th RSI International Conference on Robotics and Mechatronics (ICRoM), 2024 DOI:10.1109/ICRoM64545.2024.10903564