Notes for presentation

page 2 - Model-Free Adaptation: Learns optimal behavior directly from experience, without needing an explicit model of the environment.

• Long-Term Planning: Optimizes decisions over long time horizons by balancing immediate vs. future rewards.
  
• Scalable to Complex Tasks
  Can handle very large state-action spaces via function approximation (e.g., neural networks).
  
• Interactive Settings
  Ideal when you have an agent interacting with an environment (games, robotics, resource allocation).
  
• Data-Driven Policies
  Automatically refines its policy as more data becomes available, making it robust to non-stationarity.