1 citations · 1 across the 2 of their papers we have counts for
3 papers
Robotic Packaging Optimization with Reinforcement Learning
Eveline Drijver, Rodrigo Pérez-Dattari, Jens Kober +2
Intelligent manufacturing is becoming increasingly important due to the growing demand for maximizing productivity and flexibility while minimizing waste and lead times. This work…
Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach
Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar +1
Deep Reinforcement Learning (DRL) has become a powerful methodology to solve complex decision-making problems. However, DRL has several limitations when used in real-world problems…
Interactive Learning with Corrective Feedback for Policies based on Deep Neural Networks
Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar +1
Deep Reinforcement Learning (DRL) has become a powerful strategy to solve complex decision making problems based on Deep Neural Networks (DNNs). However, it is highly data demandin…