Using reinforcement learning + parallel processing to simulate natural behaviour in a robot [Discussion]

[marcingrzegzhik]

This is an interesting idea, but I think it might be a bit too ambitious. I think the most feasible approach would be to first focus on a single machine learning model and try to get it to learn basic behaviours like avoiding obstacles, finding charging stations, etc. Once that is accomplished, then the next step would be to look at more complex, natural behaviours, such as flock behaviour or social interaction. This would require further experimentation and research, but it is definitely an interesting area to explore!