Metadata-Version: 2.4
Name: abijith-rl
Version: 1.0.0
Summary: Reinforcement learning demos and utilities
Author: G Abijith
Description-Content-Type: text/markdown
Requires-Dist: gymnasium
Requires-Dist: numpy
Requires-Dist: pandas
Dynamic: author
Dynamic: description
Dynamic: description-content-type
Dynamic: requires-dist
Dynamic: summary

# Abijith RL

Small reinforcement learning demos built on gymnasium.

## Install

```bash
pip install abijith-rl
```

## Usage

```python
import abijith_rl as rl

mc_df = rl.montecarlo(num_episodes=200)
print(mc_df.head())

td_df = rl.td_prediction(num_episodes=50)
print(td_df.head())

sarsa_df = rl.sarsa(num_episodes=200)
print(sarsa_df.head())

q_df = rl.q_learning(num_episodes=200)
print(q_df.head())
```
