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We do have imitation Learning. I think the article is missing some important parts in RL. One way to train a network is to use experience from others or even pa
by jorgemf 8y ago
We do have imitation Learning. I think the article is missing some important parts in RL. One way to train a network is to use experience from others or even past experience of the agent, but why is it interesting doing it from scratch? Because doing it from scratch will allow us to face a lot more problems where we don't have any information or skills and because we avoid the bias in the data and we can discover new things (as it happened with AlphaGo zero with its 'tactics' in go). Now we have a method that can be applied to all the problems that are similar to a board game without any other information, just the rules of the domain.
- andreyk 8y agoAll that stuff is in part two! https://thegradient.pub/how-to-fix-rl/ https://thegradient.pub/how-to-fix-rl/ "In part two, we’ll overview the different approaches within AI that can address those limitations (chiefly, meta-learning and zero-shot learning). And finally, we'll get to a survey of monumentally exciting work based on these approaches, and conclude with what that work implies for the future of RL and AI as a whole. "