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ORCIDAdarsh Sehgal
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2020 – today
- 2022
[c4]Adarsh Sehgal, Nicholas Ward, Hung Manh La, Christos Papachristos, Sushil J. Louis:
GA+DDPG+HER: Genetic Algorithm-Based Function Optimizer in Deep Reinforcement Learning for Robotic Manipulation Tasks. IRC 2022: 85-86- [c3]Adarsh Sehgal, Muskan Sehgal, Hung Manh La, George Bebis:
Deep Learning Hyperparameter Optimization for Breast Mass Detection in Mammograms. ISVC (2) 2022: 270-283 - [i6]Adarsh Sehgal, Nicholas Ward, Hung Manh La, Christos Papachristos, Sushil J. Louis:
GA-DRL: Genetic Algorithm-Based Function Optimizer in Deep Reinforcement Learning for Robotic Manipulation Tasks. CoRR abs/2203.00141 (2022) - [i5]Adarsh Sehgal, Nicholas Ward, Hung M. La, Sushil J. Louis:
Automatic Parameter Optimization Using Genetic Algorithm in Deep Reinforcement Learning for Robotic Manipulation Tasks. CoRR abs/2204.03656 (2022) - [i4]Adarsh Sehgal, Muskan Sehgal, Hung Manh La, George Bebis:
Deep Learning Hyperparameter Optimization for Breast Mass Detection in Mammograms. CoRR abs/2207.11244 (2022) - [i3]Adarsh Sehgal, Muskan Sehgal, Hung Manh La:
AACHER: Assorted Actor-Critic Deep Reinforcement Learning with Hindsight Experience Replay. CoRR abs/2210.12892 (2022)
2010 – 2019
- 2019
- [c2]Adarsh Sehgal, Hung M. La, Sushil J. Louis, Hai Nguyen:
Deep Reinforcement Learning Using Genetic Algorithm for Parameter Optimization. IRC 2019: 596-601 - [c1]Adarsh Sehgal
, Ashutosh Singandhupe, Hung Manh La, Alireza Tavakkoli, Sushil J. Louis:
Lidar-Monocular Visual Odometry with Genetic Algorithm for Parameter Optimization. ISVC (2) 2019: 358-370 - [i2]Adarsh Sehgal, Ashutosh Singandhupe, Hung Manh La, Alireza Tavakkoli, Sushil J. Louis:
Lidar-Monocular Visual Odometry with Genetic Algorithm for Parameter Optimization. CoRR abs/1903.02046 (2019) - [i1]Adarsh Sehgal, Hung Manh La, Sushil J. Louis, Hai Nguyen:
Deep Reinforcement Learning using Genetic Algorithm for Parameter Optimization. CoRR abs/1905.04100 (2019)
Coauthor Index
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