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Any reinforcement learning system meets your first definition. RL systems don’t typically use separate practice sessions, though you could create one that did.
by tlb 4y ago
Any reinforcement learning system meets your first definition. RL systems don’t typically use separate practice sessions, though you could create one that did. But the need for deliberate practice maybe be just a biological brain thing. Instead, RL systems usually have a parameter for how much to explore new options vs. taking what seems to be the best. This lets them learn continuously as they go.
- vlovich123 4y agoRL systems lack the autonomy aspect I lay out in terms of finding new problems, figuring out how to improve on the task, or communicating that information in any way. What your describe is necessary but not sufficient.