9 citations · 12 across the 4 of their papers we have counts for
5 papers
AACHER: Assorted Actor-Critic Deep Reinforcement Learning with Hindsight Experience Replay
Adarsh Sehgal, Muskan Sehgal, Hung Manh La
Actor learning and critic learning are two components of the outstanding and mostly used Deep Deterministic Policy Gradient (DDPG) reinforcement learning method. Since actor and cr…
Deep Learning Hyperparameter Optimization for Breast Mass Detection in Mammograms
Adarsh Sehgal, Muskan Sehgal, Hung Manh La +1
Accurate breast cancer diagnosis through mammography has the potential to save millions of lives around the world. Deep learning (DL) methods have shown to be very effective for ma…
Automatic Parameter Optimization Using Genetic Algorithm in Deep Reinforcement Learning for Robotic Manipulation Tasks
Adarsh Sehgal, Nicholas Ward, Hung La +1
Learning agents can make use of Reinforcement Learning (RL) to decide their actions by using a reward function. However, the learning process is greatly influenced by the elect of…
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…
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…