Search Results for author:
Found 2 papers, 1 papers with code
Intelligent Resource Allocation in Dense LoRa Networks using Deep Reinforcement Learning
The anticipated increase in the count of IoT devices in the coming years motivates the development of efficient algorithms that can help in their effective management while keeping the power consumption low.
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Deep Reinforcement Learning (DRL) has numerous applications in the real world thanks to its outstanding ability in quickly adapting to the surrounding environments.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
