Hi Alessandro,
The code effectively implements an evolutionary strategy for evolving agents in the game of Nim. The genome structure, initial random generation, adaptive strategy, parent selection mechanisms, crossover, mutation, and population generation are all well-designed. The simulation of the Nim game and the plotting functions provide a clear overview of strategy evolution across epochs. The code is organized, readable, and offers a robust framework for experimentation and analysis. I particularly appreciated the presentation of results through graphical visualizations, enhancing the clarity and interpretability of the evolutionary process.
:)
Hi Alessandro, The code effectively implements an evolutionary strategy for evolving agents in the game of Nim. The genome structure, initial random generation, adaptive strategy, parent selection mechanisms, crossover, mutation, and population generation are all well-designed. The simulation of the Nim game and the plotting functions provide a clear overview of strategy evolution across epochs. The code is organized, readable, and offers a robust framework for experimentation and analysis. I particularly appreciated the presentation of results through graphical visualizations, enhancing the clarity and interpretability of the evolutionary process. :)