The Frozen Lake environment is a part of the OpenAI Gym toolkit, designed for reinforcement learning tasks.
In this environment, the player navigates a frozen lake grid world from a starting point to a goal while avoiding holes that lead to failure. The game involves moving in a slippery environment where the player may not always move in the intended direction due to the icy surface. The player's objective is to reach the goal without falling into any holes, with rewards typically set at +1.0 for reaching the goal, -0.2 for agent death, and -0.01 for reaching a non-goal frozen spot
The Frozen Lake environment can be customized with different configurations, including pre-determined maps, random maps, and custom maps, allowing for variations in gameplay and challenges