This repository provides an OpenAI Gym-compatible environment for the Sokoban puzzle game, designed specifically for reinforcement learning research. The environment generates random rooms to prevent neural networks from overfitting on predefined layouts. It implements the game rules from DeepMind’s Imagination Augmented Agents paper, serving as a testbed for training RL algorithms on spatial reasoning and planning tasks where irreversible mistakes can occur.