Many people have tried to defend pure DRL w Nature Machine Intelligence article that actually is a hybrid model; the below youtube pointer IS to a pure convnet - but read fine print: “network works decently well for any position less than 6 moves away from solved”
#symbolphobiahttps://twitter.com/AlexRoseGames/status/1186571935611850752 …
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To solve Rubik's cube in generality, you need to approach it as a reinforcement learning problem. You must explore the search space somehow, e.g., MCTS, Thompson sampling, etc. Is all search in discrete spaces "symbolic"? Not in an interesting way
Not saying it is impossible, but I am aware of no pure DRL solution to Rubik's thus far; everything I have seen is either a hybrid or less reliable than a pure symbolic solution.
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Would you say this counts? https://arxiv.org/abs/1805.07470
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