Search Results for author:
Found 2 papers, 2 papers with code
Improving exploration in policy gradient search: Application to symbolic optimization
Many machine learning strategies designed to automate mathematical tasks leverage neural networks to search large combinatorial spaces of mathematical symbols.
Increasing performance of electric vehicles in ride-hailing services using deep reinforcement learning
New forms of on-demand transportation such as ride-hailing and connected autonomous vehicles are proliferating, yet are a challenging use case for electric vehicles (EV).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
