Is Cost-Effective Deep Reinforcement Learning Possible?

Is Cost-Effective Deep Reinforcement Learning Possible?

according to Google researchers, the advancement of deep reinforcement learning comes at a cost--- a computational one.

Can a research done on a smaller computational budget can provide valuable scientific insights? Given the insane training times and budgets, it is natural to wonder if anything worthwhile in AI comes at a small price. So far, the researchers have focused on the training costs of language models which have become too large. But, what about the deep reinforcement learning(RL) algorithms -the brains behind autonomous cars, warehouse robots and even the AI that beat chess grandmasters?

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