Reinforcement learning is the computational approach of learning from action by interacting with an environment through trial and error and receiving rewards (negative or positive) as feedback.
About Reinforcement Learning
https://www.youtube.com/watch?v=q0BiUn5LiBc
Gaming
Reinforcement learning is known for its application to video games. Since the games provide a safe environment for the agent to be trained in the sense that it is perfectly defined and controllable, this makes them perfect candidates for experimentation and will help a lot to learn about the capabilities and limitations of various RL algorithms.
but over iterations, the agent gets better and better with each episode of the training. This paper mainly investigates the performance of RL in popular games such as Minecraft or Dota2. https://huggingface.co/tasks/reinforcement-learning
About Reinforcement Learning
https://www.youtube.com/watch?v=q0BiUn5LiBc
Gaming
Reinforcement learning is known for its application to video games. Since the games provide a safe environment for the agent to be trained in the sense that it is perfectly defined and controllable, this makes them perfect candidates for experimentation and will help a lot to learn about the capabilities and limitations of various RL algorithms.
but over iterations, the agent gets better and better with each episode of the training. This paper mainly investigates the performance of RL in popular games such as Minecraft or Dota2. https://huggingface.co/tasks/reinforcement-learning