SINGLE-AGENT DEEP REINFORCEMENT LEARNING

The first project paper that have done to publish has the title: Applying Deep Reinforcement Learning to Improve Throughput and Reduce Collision Rate in IEEE 802.11 Networks. This paper is publish in KSII Transactions on Internet and Information Systems, visit this doi to download the paper: https://doi.org/10.3837/tiis.2022.01.019 (Please cite my paper). See the paper below:

See The Full Code Below:

This project is proposing the new algorithm, called "Smart Exponential-Threshold-Linear with Deep Q-Network (SETL-DQN) Algorithm" to optimize the contention window (CW) using deep q-learning network (DQN) during the exploration process, the code shows below is SETL-DQN Algorithm code: