Reinforcement learning for game course,
in this course is an exciting course that teaches you how to build intelligent AI systems for games using reinforcement learning techniques. In this course, you’ll learn the fundamentals of RL, including concepts like agents, environments, actions, rewards, and policies. Through hands-on projects, you’ll create AI agents that adapt and improve by interacting with the gaming environment. Topics include training agents for strategy optimization, building non-player characters (NPCs), and designing competitive game AI. Using Python libraries like TensorFlow, PyTorch, and OpenAI Gym, this course provides practical skills to create smart, adaptive gaming experiences. Ideal for developers and gaming enthusiasts, it bridges the gap between AI and game design."
