Hi Anjum,

Very cool to hear about your work in the continuous domain. I haven’t explored methods for dealing with large rewards at different scales very much. The rule of thumb which I generally use is that the largest possible reward shouldn’t be greater the 1 or less than -1. I hope that helps.

PhD. Interests include Deep (Reinforcement) Learning, Computational Neuroscience, and Phenomenology.

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