Machine learning, particularly reinforcement learning, is crucial for developing agentic AI capable of learning from interactions with their environment. Skills in designing reward functions, policy optimization, and value function estimation allow agents to adapt and make autonomous decisions over time.
- Log in or register to contribute
Contribute to three or more articles across any domain to qualify for the Contributor badge. Please check back tomorrow for updates on your progress.