Training Neural Networks Using Reinforcement Learning: The Application of AI in the Twenty-First Century
JSHS · 2023
Overview
With the development of new AI technologies, such as OpenAI’s chatGPT, our lives have become influenced by the factors of AI benefits. In this qualitative study, the researcher explored the field of reinforcement learning by running two simulations with potential solutions to real-world specific problems. T o perform these, the researcher used the program Unity with the plugin UnityML, and also python as a coding language. The results of the simulations provided valuable feedback on the training of neural networks using reinforcement learning. We can see direct correlation between the generated graphs and the learning patterns, such as the cumulative and episode length. In summary, both simulations proved themselves to be potential solutions to these specific issues.
Competition history
- JSHS 2023
Resources
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