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The task contains three different agents. A random agent, a simple agent and a RL agent. The problem is similar to the Frozen Lake problem which introduced by Open AI Gym. It requires the agent to “learn” how to get across the lake from the start point to the goal point and not to fall into a hole.
Project for my KTA ( IM0702-232411M) course In our project, we are tasked with learning an agent to traverse a frozen lake without falling into the water. The agent learns by trial-and-error, adjusting the actions it takes based on the rewards it received in the past.