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Reinforcement Learning for Trading: Immediate vs. Future Rewards.
The influence of damage-stochastic-process hypotheses on future rewards computation is evaluated.
Predicting future rewards depends critically on beliefs about the current state of the world.
People don't "discount" future rewards according to a simple scheme, as many economists have suggested.
Imagining the future: degraded representations of future rewards and events in schizophrenia.
By defining future rewards, you show people that getting on board will be worth their effort.
They can also dangle future rewards in front of customers in exchange for a few more purchases at a retailer.
Goals are encoded as reward functions, expressing the desirability of each world state; the planner must find a policy (mapping from states to actions) that maximizes future rewards.
Stockmarkets, which on one view are simply an estimate of the future rewards of all firms discounted by their risks, have become more volatile in recent years.
"There is frustration and disappointment when authors have given up control or future rewards and don't receive the investment or see the results they expected.
In ongoing relationships the promise of future rewards and the threat of future punishments may let's be careful may sometimes provide incentives for good behavior today.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com