Applications of Deep Reinforcement Learning
Automotive
Resource Management
AI toolkits
Bidding And Advertising
Manufacturing
Healthcare
Whether it is about the optimal treatment plans or the new drug development and automatic treatment, there exists a great potential for deep reinforcement learning to advance in healthcare. As of now, one of the chief deep RL applications in healthcare includes the diagnosis of diseases, drug manufacturing, and clinical trial & research.
Discover Major Trends that are transforming the health tech Industry
Traffic Control
Bots
Video Games
Deep RL is using to make complex interactive video games – the RL agent’s behavior vicissitudes based on its learning from the game to optimize the score. It is also used in PC games such as ‘Chess’ or Atari games where the opponents change their approach and move based on the player’s performance.
In a world where competition is increasing in the arena of the gaming industry with the advent of technology, there is no surprise that a plethora of developers is jumping onto the RL train in an attempt to bring more interactivity to their games while also creating a loyal fan base. By enabling these systems to “learn” human behavior and develop responses, these developers can attract a customer base like never before and bring complexity on the human level, both of which enable a better experience for the gamer.