Towards deep symbolic reinforcement learning

Towards deep symbolic reinforcement learning Garnelo et al, 2016 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. But what if we’re throwing the baby out with the bath water? What if instead of having to choose between the two approaches, we could combine them: a system that…

Link to Full Article: Towards deep symbolic reinforcement learning

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