https://github.com/arianahejazyan/rl
Simple implementations of RL algorithms
https://github.com/arianahejazyan/rl
algorithms artificial-intelligence deep-reinforcement-learning openai-gym python reinforcement-learning reinforcement-learning-algorithms rl
Last synced: 3 months ago
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Simple implementations of RL algorithms
- Host: GitHub
- URL: https://github.com/arianahejazyan/rl
- Owner: arianahejazyan
- Created: 2025-05-29T09:05:11.000Z (4 months ago)
- Default Branch: master
- Last Pushed: 2025-06-28T11:07:25.000Z (3 months ago)
- Last Synced: 2025-06-28T11:33:44.995Z (3 months ago)
- Topics: algorithms, artificial-intelligence, deep-reinforcement-learning, openai-gym, python, reinforcement-learning, reinforcement-learning-algorithms, rl
- Language: Jupyter Notebook
- Homepage:
- Size: 423 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## Getting Started
Clone the repository:
```bash
git clone https://github.com/arianahejazyan/RL.git
```
Create and activate a virtual environment:
```bash
python3 -m venv venv
```
Install dependencies:
```bash
pip install -r requirements.txt
```
---
| **Algorithm** | **Type** | **Environment** | **Environment GIF** |
| ------------- |--------- | --------------- | ------------------- |
| [Policy Iteration](notebooks/dynamic_programming/policy_iteration.ipynb) | Value Based | **Taxi-v3**: Pick up and drop off passengers at the right location in a 5×5 grid world. | 
|
| [On-Policy First-Visit MC Control](notebooks/monte_carlo/on_policy_first_visit_mc_control.ipynb) | Monte Carlo | **FrozenLake-v1**: A grid-based environment where an elf must reach the present without falling into holes. | 
|