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Other examples of Reinforcement Learning are self-driving cars, robotics and a variety of video games available
these days.
1. Video Game AI: A video game character (AI) learns to play a game like chess, Go, or Atari games. In video game
AI, Reinforcement Learning allows agents (e.g., characters or bots) to learn optimal strategies by exploring
the game environment, receiving rewards for achieving objectives, and penalties for failing, improving their
performance over time.
2. Car Parking: In car parking, Reinforcement Learning helps the car learn how to park properly by trying different
ways, getting rewards when it parks correctly, and getting penalties if it makes a mistake like hitting something.
3. Humanoid Walking: Humanoid walking is related to Reinforcement Learning as the robot learns to walk by
receiving rewards for stable movements and penalties for falls, adjusting its actions to maximise balance and
efficiency over time.
Advanced Concepts of Modeling in AI 191

