2 papers
cs.LG2025
Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL)
Nihal Acharya Adde, Alexandra Gianzina, Hanno Gottschalk +1
This paper introduces Evolutionary Multi-Objective Network Architecture Search (EMNAS) for the first time to optimize neural network architectures in large-scale Reinforcement Lear…
cs.LG2024
Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning
Nihal Acharya Adde, Hanno Gottschalk, Andreas Ebert
This paper focuses on hyperparameter optimization for autonomous driving strategies based on Reinforcement Learning. We provide a detailed description of training the RL agent in a…