# eligrealish/tensorflow-deep-reinforcement-learning architecture

> Architecture diagram of the GitHub repository eligrealish/tensorflow-deep-reinforcement-learning, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-11-11). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/eligrealish/tensorflow-deep-reinforcement-learning
- Repository: https://github.com/eligrealish/tensorflow-deep-reinforcement-learning

## Overview

This repository describes a TensorFlow-based deep reinforcement learning agent for 2048. Its principal workflow is trial-and-error learning: a DQN agent develops moves for the tile-matching game. The final agent adds double, dueling, and prioritized-memory improvements. The repository contains only a notebook and README, with no source excerpts, so the graph reflects documented capabilities rather than verified internal implementation details.

Main entry points: [`main.ipynb`](https://github.com/eligrealish/tensorflow-deep-reinforcement-learning/blob/main/main.ipynb) (DQN Agent)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_game["2048 Game"]
  node_game2048["2048 Game<br/>[main.ipynb]"]
end

subgraph group_learning["Deep RL Agent"]
  node_dqn["DQN Agent<br/>[main.ipynb]"]
  node_improvements["DQN Improvements<br/>[main.ipynb]"]
end

node_tensorflow["TensorFlow"]

node_dqn -->|"learns moves"| node_game2048
node_tensorflow -->|"builds agent"| node_dqn
node_improvements -->|"improves"| node_dqn

click node_game2048 "https://github.com/eligrealish/tensorflow-deep-reinforcement-learning/blob/main/main.ipynb"
click node_dqn "https://github.com/eligrealish/tensorflow-deep-reinforcement-learning/blob/main/main.ipynb"
click node_improvements "https://github.com/eligrealish/tensorflow-deep-reinforcement-learning/blob/main/main.ipynb"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_game2048 toneBlue
class node_dqn,node_improvements toneAmber
class node_tensorflow toneIndigo
```

## Components

### 2048 Game

- [2048 Game](https://github.com/eligrealish/tensorflow-deep-reinforcement-learning/blob/main/main.ipynb): `main.ipynb`

### Deep RL Agent

- [DQN Agent](https://github.com/eligrealish/tensorflow-deep-reinforcement-learning/blob/main/main.ipynb): `main.ipynb`
- [DQN Improvements](https://github.com/eligrealish/tensorflow-deep-reinforcement-learning/blob/main/main.ipynb): `main.ipynb`

### Other components

- **TensorFlow**

## Connections

- DQN Agent → 2048 Game: learns moves (evidence: `README.md`)
- TensorFlow → DQN Agent: builds agent (evidence: `README.md`)
- DQN Improvements → DQN Agent: improves (evidence: `README.md`)