Abstract: Deep Q-learning is an important reinforcement learning algorithm, which involves training a deep neural network, called deep Q-network, to approximate the well-known Q-function. Although ...

This project demonstrates a practical application of reinforcement learning in education. The system adapts to each student's knowledge level and learning style, recommending appropriate content in ...

Abstract: We propose a new Q-learning-based air-fuel ratio (AFR) controller for a Wankel rotary engine. We first present a mean-value engine model (MVEM) that is modified based on the rotary engine ...

Create a more basic tutorial on using (Async)VectorEnvs and why you should learn them. I would say that perhaps taking the already excellent blackjact_agent tutorial and rewriting is using AsyncEnvs ...