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Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
1
vote
Risk-averse multi-armed bandits
Yes, you can! One way of taking into account the risk is to use distributional reinforcement learning, where you learn the entire distribution of the rewards (in each state) rather than just keeping t …
2
votes
Accepted
In a sparse reward problem, is it possible to remove reward shaping once the RL agent trains...
It seems that the hyperlink is broken, so for now, I will attempt to clarify some details without having read the paper and can answer the specifics later.
I suspect that even though the agent has fo …