Nihal Acharya Adde

According to our database, Nihal Acharya Adde authored at least 5 papers between 2020 and 2025.

Collaborative distances:

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

2025

Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL).

Nihal Acharya Adde, Alexandra Gianzina, Hanno Gottschalk, Andreas Ebert

CoRR, June, 2025

Robust Evolutionary Multi-Objective Neural Architecture Search for Reinforcement Learning (EMNAS-RL).

Nihal Acharya Adde, Alexandra Gianzina, Hanno Gottschalk, Andreas Ebert

Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025

2024

Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning.

Nihal Acharya Adde, Hanno Gottschalk, Andreas Ebert

Proceedings of the Machine Learning, Optimization, and Data Science, 2024

2021

Finding hidden-feature depending laws inside a data set and classifying it using Neural Network.

Thilo Moshagen, Nihal Acharya Adde, Ajay Navilarekal Rajgopal

CoRR, 2021

2020

Classification based on invisible features and thereby finding the effect of tuberculosis vaccine on COVID-19.

Nihal Acharya Adde, Thilo Moshagen

CoRR, 2020