Artificial Intelligence By Example

Chapter 1 – Become an Adaptive Thinker

1. Is reinforcement learning memoryless? (Yes | No)

The answer is yes. Reinforcement learning is memoryless. The agent calculates the next state without looking into the past. This is significantly different to humans. Humans rely heavily on memory. A CPU-based reinforcement learning system finds solutions without experience. Human intelligence merely proves that intelligence can solve a problem. No more, no less. An adaptive thinker can then imagine new forms of machine intelligence.

2. Does reinforcement learning use stochastic (random) functions? (Yes | No)

The answer is yes. In the particular Markov Decision Process model, the choices are random. In just two questions, you can see that the Bellman ...