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Reinforcement learning is usually introduced as a technique to train an agent in simulation that would then be let loose in a real environment. Interesting that
by KKKKkkkk1 4y ago
Reinforcement learning is usually introduced as a technique to train an agent in simulation that would then be let loose in a real environment. Interesting that they choose to treat it is a search strategy.
- nestorD 4y agoTo be fair, their work is based on alpha-zero which is itself deeplearning on top of monte-carlo tree search, a search strategy. Having played with those algorithms, I suspect that one could obtain similar results with a solid Monte-Carlo tree search implementation (a lot of them use ucb which is really suboptimal)