> For the complete documentation index, see [llms.txt](https://dailyjournal.gitbook.io/ds-ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://dailyjournal.gitbook.io/ds-ai/machine-learning/reinforcement-learning.md).

# Reinforcement Learning

In **Reinforcement learning**, the algorithm figures out which actions to take in a situation to maximize a reward (in the form of a number) on the way to reaching a specific goal.

Algorithm

* Deep Q-Network (DQN)
* Deep Deterministic Policy Gradient (DDPG)

Applications

* Industrial Robotics
* Fraud Detection
* Stock Trading
* Autonomus Driving

{% embed url="<https://storage.googleapis.com/gweb-cloudblog-publish/images/1_QKMAP47.max-800x800.png>" %}

### Deep Q-Network <a href="#deep-q-network" id="deep-q-network"></a>

The Deep Q-network (DQN) was introduced by Google Deepmind's group in [this paper](https://storage.googleapis.com/deepmind-media/dqn/DQNNaturePaper.pdf) in 2015.
