random-walk-env 0.0.1

A random walk environment for Gymnasium

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.

Installation

To install your new environment, run the following commands:

cd random_walk_env
pip install -e .