Deep Reinforcement Learning Gets Boost with Dopamine, but Still Requires a Technology Paradigm Shift.

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4Q 2018 | IN-5291


What Is Deep Reinforcement Learning and Why Does It Matter?


Deep Reinforcement Learning (RL) is a technique used by data scientists working in AI. It is an algorithm that can learn to develop solutions over multiple steps to achieve a goal independently from human intervention. The critical challenge for software developers building deep-RL algorithms is to set the goals and reward functions that then inform the learning process. Deep RL has been given top billing as a potential AI technology that could enable far greater autonomation in the automotive, consumer, financial, and industrial spaces.

The field has seen a number of significant advances in the past few years. These advances have allowed deep-RL software agents to play games at superhuman levels. Notable projects in reinforcement learning have included DeepMind’s Deep Q Networks (DQN) (a software that could play Atari games), AlphaGo and AlphaGo Zero (a DeepMind software that became the world’s best player...

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