12 Evolutionary machine learning and beyond
This chapter covers
- Evolution and ML with gene expression programming
- Revisiting reinforcement learning with Geppy
- Instinctual learning
- Generalized learning with genetic programming
- The future of evolutionary machine learning
- Generalization with instinctual deep and deep reinforcement learning
In the last chapter, we looked deeply at how evolutionary solutions like NEAT could be applied to solve RL. In this chapter, we continue with some of those same concepts but also take a step back and look at how evolutionary methods can be applied to expand our understanding of ML. Specifically, looking at what role evolutionary search plays can expand how we develop generalized ML.
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