10 citations · 11 across the 9 of their papers we have counts for
3 papers · 1 filter
Active Perception Applied To Unmanned Aerial Vehicles Through Deep Reinforcement Learning
Matheus G. Mateus, Ricardo B. Grando, Paulo L. J. Drews-Jr
Unmanned Aerial Vehicles (UAV) have been standing out due to the wide range of applications in which they can be used autonomously. However, they need intelligent systems capable o…
Deterministic and Stochastic Analysis of Deep Reinforcement Learning for Low Dimensional Sensing-based Navigation of Mobile Robots
Ricardo B. Grando, Junior C. de Jesus, Victor A. Kich +3
Deterministic and Stochastic techniques in Deep Reinforcement Learning (Deep-RL) have become a promising solution to improve motion control and the decision-making tasks for a wide…
Underwater enhancement based on a self-learning strategy and attention mechanism for high-intensity regions
Claudio D. Mello, Bryan U. Moreira, Paulo J. O. Evald +2
Images acquired during underwater activities suffer from environmental properties of the water, such as turbidity and light attenuation. These phenomena cause color distortion, blu…