Towards deep symbolic reinforcement learning

#artificialintelligence 

Every now and then I read a paper that makes a really strong connection with me, one where I can't stop thinking about the implications and I can't wait to share it with all of you. For me, this is one such paper. In the great see-saw of popularity for artificial intelligence techniques, symbolic reasoning and neural networks have taken turns, each having their dominant decade(s). The popular wisdom is that data-driven learning techniques (machine learning) won. Symbolic reasoning systems were just too hard and fragile to be successful at scale.

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