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scopus(4)
Slip-aware adaptive path planning for whole-body mobile manipulators using reinforcement learning
OtherAbstract: This work investigates Reinforcement Learning-based motion planning and obstacle avoidance for a skiPalabras claves:Deep deterministic policy gradient, deep Q networks, PATH PLANNING, Q-Learning, Reinforcement learning, skid steer mobile robots, terrain constraintsAutores:Álvaro Javier Prado, Camacho C.Fuentes:scopusOn the assessment of reinforcement learning techniques for path planning of skid-steer mobile robots subject to terrain constraints
OtherAbstract: This paper studies the application of Reinforcement Learning (RL) techniques for path planning of SkPalabras claves:Deep deterministic policy gradient, deep Q networks, PATH PLANNING, Q-Learning, Reinforcement learning, skid steer mobile robots, terrain constraintsAutores:Álvaro Javier Prado, Camacho C., Kevin Dawson, Menendez O., Miguel Torres-TorritiFuentes:scopusIntegrating Model Predictive Control with Deep Reinforcement Learning for Robust Control of Thermal Processes with Long Time Delays
ArticleAbstract: Thermal processes with prolonged and variable delays pose considerable difficulties due to unpredictPalabras claves:Actor-Critic, Deep deterministic policy gradient, Nonlinear Model Predictive Control, Reinforcement learning, thermal process, Twin-delayed Deep Deterministic Policy Gradient, uncertainties and disturbances, variable long time delayAutores:Álvaro Javier Prado, Kevin Marlon Soza MamaniFuentes:scopusLightweight Neural Network Architectures for Robust Data-driven Control System of Three-Phase Voltage Source Inverters
OtherAbstract: Data-driven control systems based on Deep Reinforcement Learning (DRL) agents are emerging as a promPalabras claves:Data-driven control systems, neural network control, Power Converter, Reinforcement learningAutores:Álvaro Javier Prado, Carlos Pizarro, Felipe Ruiz, Gabriel Tabilo, Menendez O., Navas-Fonseca A., Rodriguez J.Fuentes:scopus