activity
20172026
most citedAutomatic Parameter Optimization Using Genetic Algorithm in Deep Reinforcement Learning for Robotic Manipulation Tasks

9 citations · 12 across the 8 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

cs.NE2019

Deep Reinforcement Learning using Genetic Algorithm for Parameter Optimization

Adarsh Sehgal, Hung Manh La, Sushil J. Louis +1

Reinforcement learning (RL) enables agents to take decision based on a reward function. However, in the process of learning, the choice of values for learning algorithm parameters…

cs.RO2019

Lidar-Monocular Visual Odometry with Genetic Algorithm for Parameter Optimization

Adarsh Sehgal, Ashutosh Singandhupe, Hung Manh La +2

Lidar-Monocular Visual Odometry (LIMO), a odometry estimation algorithm, combines camera and LIght Detection And Ranging sensor (LIDAR) for visual localization by tracking camera f…