2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 2 cited
Effects of sparse rewards of different magnitudes in the speed of learning of model-based actor critic methods
Juan Vargas, Lazar Andjelic, Amir Barati Farimani
Actor critic methods with sparse rewards in model-based deep reinforcement learning typically require a deterministic binary reward function that reflects only two possible outcome…
cs.LG2019★ 1 cited
Creativity in Robot Manipulation with Deep Reinforcement Learning
Juan Carlos Vargas, Malhar Bhoite, Amir Barati Farimani
Deep Reinforcement Learning (DRL) has emerged as a powerful control technique in robotic science. In contrast to control theory, DRL is more robust in the thorough exploration of t…