QWeb: Solving Web Navigation Problems using DQN

Author(s): Sherwin Chen

Originally published on Towards AI.

Simple Introduction to Web Navigation Problems

Photo by Émile Perron on Unsplash

Model reinforcement learning algorithms have achieved astonishing results in many real-world games, such as Alpha Go and OpenAI Five. In this article, we discuss a closer-to-life application of reinforcement learning, known as web navigation problems, in which an agent learns to navigate the web following some instructions. Specifically, we discuss an algorithm, named QWeb proposed by Gur et al. in ICLR 2019, that leverage DQN to solve web navigation problems.

Albeit there is no mathematical reasoning going on here, I still put many mathematical expressions to illuminate the underlying process. For better readability, you may want… Read the full blog for free on Medium.

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Published via Towards AI