Journal of Intelligent Learning Systems and Applications

Journal of Intelligent Learning Systems and Applications

ISSN Print: 2150-8402
ISSN Online: 2150-8410
www.scirp.org/journal/jilsa
E-mail: jilsa@scirp.org
"A Comparison of PPO, TD3 and SAC Reinforcement Algorithms for Quadruped Walking Gait Generation"
written by James W. Mock, Suresh S. Muknahallipatna,
published by Journal of Intelligent Learning Systems and Applications, Vol.15 No.1, 2023
has been cited by the following article(s):
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[2] Enhancement of control performance for degraded robot manipulators using digital twin and proximal policy optimization
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[3] Q-learning with heterogeneous update strategy
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[4] Robotic Manipulator in Dynamic Environment with SAC Combing Attention Mechanism and LSTM
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[5] Deep Reinforcement Learning for Time-Critical Wilderness Search And Rescue Using Drones
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[6] Learn to flap: foil non-parametric path planning via deep reinforcement learning
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[7] Sim-to-Real: A Performance Comparison of PPO, TD3, and SAC Reinforcement Learning Algorithms for Quadruped Walking Gait Generation
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[8] Reinforcement learning control for energy efficient building
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[9] Análisis comparativo de modelos tradicionales y modelos de Inteligencia Artificial aplicados a juegos de apuestas
2023
[10] Optimal Kinematic Design of a Robotic Lizard using Four-Bar and Five-Bar Mechanisms
arXiv preprint arXiv:2308.08151, 2023
[11] An Empirical Study of On-Policy and Off-Policy Actor-Critic Algorithms in the Context of Exploration-Exploitation Dilemma
2023 International Conference on …, 2023
[12] Reinforcement Learning-Based Response Shaping Control of Dynamical Systems
2023 11th International Conference on …, 2023
[13] A Deep Reinforcement Learning Strategy for Surrounding Vehicles-Based Lane-Keeping Control
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[14] Reinforcement learning approaches for autonomous guidance and control in a low-thrust, multi-body dynamical environment
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