Metadata-Version: 2.3
Name: random_walk_env
Version: 0.0.2
Summary: A random walk environment for Gymnasium
License-File: LICENSE
Requires-Dist: gymnasium
Requires-Dist: pre-commit
Description-Content-Type: text/markdown

## Random Walk
The Random Walk Environment is a custom Gymnasium environment that simulates a simple random walk process. The agent starts in a predefined state and moves randomly to adjacent states (left or right) at each timestep. The states are arranged in a row, with terminal states at both ends. The rightmost terminal state rewards the agent with +1, while all other transitions have a reward of 0. The environment is ideal for experiments in reinforcement learning or Markov Reward Processes (MRPs), focusing on stochastic state transitions without actions.

## Use with gymnasium

```{shell}
import random_walk_env
import gymnasium as gym

env = gym.make('random_walk_env/RandomWalk-v0')
```

