Part 3— Building a deep Q-network to play Gridworld — Learning Instability and Target Networks

Part 3— Building a deep Q-network to play Gridworld — Learning Instability and Target Networks

In this article let’s understand what is Learning instability which is a common problem with Deep Reinforcement Learning agents. We will solve this problem by implementing Target Network

Welcome to the third part of Deep Q-network tutorials. This is the continuation of the part 1 and part 2. If you have not read these, I strongly suggest you to read them, as many codes …

building data science deep learning deep-q-learning learning machine learning network networks part reinforcement learning