Chapter 1 – Getting Started with Next-Generation Artificial Intelligence through Reinforcement Learning
- 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 from 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.
It must be noted that exceptions exist in some cases, but the general rule is a memoryless system.
- 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 equation is memoryless and...
