MACHINE LEARNING

Detailed explanation-1: -Reinforcement learning has an environment and an agent. The agent performs some actions to achieve a specific goal. Every time the agent performs a task that is taking it towards the goal, it is rewarded. And, every time it takes a step that goes against that goal or in the reverse direction, it is penalized.

Detailed explanation-2: -Playing games like Go: Google has reinforcement learning agents that learn to solve problems by playing simple games like Go, which is a game of strategy. Playing this game requires reasoning and intelligence. Google’s reinforcement learning agent had no prior knowledge of the rules of the game or how to play it.

Detailed explanation-3: -Using the reinforcement learning method, mobile apps development company creates games where the player will be rewarded for the right behavior and punished for the wrong one. Thus, the agent will be doing their best to take fewer wrong steps and make more right decisions.