Human-level control through deep reinforcement learning
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Re: Human-level control through deep reinforcement learning
#2Re: Human-level control through deep reinforcement learning
#3Is this a different paper to the original DeepMind video game paper? http://arxiv.org/abs/1312.5602
Edit: Ars Technica has a summary of this new paper. https://arstechnica.com/science/2015/02/ai-masters-49-atari-...
Re: Human-level control through deep reinforcement learning
#4Is this a different paper to the original DeepMind video game paper? http://arxiv.org/abs/1312.5602
Re: Human-level control through deep reinforcement learning
#5Re: Human-level control through deep reinforcement learning
#6Re: Human-level control through deep reinforcement learning
#7This is huge. It shows that the algorithm was able to generalize across multiple problem sets within the same domain of "playing Atari 2600 games", and not simply a "lucky" choice of algorithm, network architecture, or hyperparameters that a random search for each game might choose. This is also not a violation of the No Free Lunch (NFL) Theorem [1], because the domain is limited to playing Atari 2600 games, which share many characteristics.
[1]: https://en.wikipedia.org/wiki/No_free_lunch_in_search_and_op...
Re: Human-level control through deep reinforcement learning
#8Re: Human-level control through deep reinforcement learning
#9Can someone convert "academia nerd language" down one notch into "regular nerd language". On the surface, this sounds interesting but despite being a huge nerd I'm not really sure what the hell they're talking about.