Training robots to play sports can be a challenging task. Here in this implementation, we trained Reinforcement Learning agents to play tennis. With the help of this implementation, we have a proof of concept model and architecture that can help an agent play tennis.
This simulation can then be used for the real-time implementation of robots that can play tennis. Such robots will have a lot of importance as they can assists sports players in their training, play with kids, etc. Due to the COVID-19 pandemic as kids are not able to play with each other these robots can become their buddies and play with them.