12.3 Outlook of Reinforcement Learning

A formal framework that defines probability using three fundamental rules, ensuring consistency in measuring uncertainty. 🎲

Challenges in Reinforcement Learning

• Balancing Exploration vs Exploitation

• Sample Efficiency

• Sparse Rewards

• Converging to optimal policies

Artificial General Intelligence (AGI)

• Definition: AGI is AI capable of learning and applying intelligence across a wide range of tasks, similar to human cognition.

• Role of RL in AGI: RL enables autonomous learning and decision-making, key for AGI’s adaptability and problem-solving.

• Current Progress: Significant advancements in deep RL and multi-agent systems, though AGI remains a long-term goal.

• Potential Impact: AGI could revolutionize industries, solve global challenges, and transform work and society.