Agent Basics

Artificial intelligence begins her life as an agent by learning through trial and error. She sets goals, tests actions, and improves when rewards guide her choices.

• Reinforcement learning basics – Learning through rewards and feedback.
• OpenAI gym – Training agents in simulated environments.
• LLM-driven agents – Goal-oriented agents powered by language models.
• Task-oriented agents – Agents that manage and reprioritize task lists.
• Planning and scheduling agents – Generating and executing plans over time.