random-walk-env 0.0.2

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.

Use with gymnasium

import random_walk_env
import gymnasium as gym

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