Adarsh Sehgal

According to our database, Adarsh Sehgal authored at least 7 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

AACHER: Assorted Actor-Critic Deep Reinforcement Learning with Hindsight Experience Replay.

Adarsh Sehgal, Muskan Sehgal, Hung Manh La

CoRR, 2022

Automatic Parameter Optimization Using Genetic Algorithm in Deep Reinforcement Learning for Robotic Manipulation Tasks.

Adarsh Sehgal, Nicholas Ward, Hung M. La, Sushil J. Louis

CoRR, 2022

GA-DRL: Genetic Algorithm-Based Function Optimizer in Deep Reinforcement Learning for Robotic Manipulation Tasks.

Adarsh Sehgal, Nicholas Ward, Hung Manh La, Christos Papachristos, Sushil J. Louis

CoRR, 2022

Deep Learning Hyperparameter Optimization for Breast Mass Detection in Mammograms.

Adarsh Sehgal, Muskan Sehgal, Hung Manh La, George Bebis

Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

GA+DDPG+HER: Genetic Algorithm-Based Function Optimizer in Deep Reinforcement Learning for Robotic Manipulation Tasks.

Adarsh Sehgal, Nicholas Ward, Hung Manh La, Christos Papachristos, Sushil J. Louis

Proceedings of the Sixth IEEE International Conference on Robotic Computing, 2022

2019

Lidar-Monocular Visual Odometry with Genetic Algorithm for Parameter Optimization.

Adarsh Sehgal, Ashutosh Singandhupe, Hung Manh La, Alireza Tavakkoli, Sushil J. Louis

Proceedings of the Advances in Visual Computing, 2019

Deep Reinforcement Learning Using Genetic Algorithm for Parameter Optimization.

Adarsh Sehgal, Hung M. La, Sushil J. Louis, Hai Nguyen

Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019