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This project was completed on October 15, 2015. It's a software package that consists of a set of AI agents for RPSLW (a stochastic game). One of the agents was implemented, so that it could learn how to play against different types of players on its own using Reinforcement Learning (specifically, using model-free type of RL - Q learning). To l…
We have 2 rooms, these rooms could be cleaned or could be travelled, but we can only do one action at a time. Let's create a solution with the reflex-agent AI approach Also keep in mind that this reflex agent could only perceive its room and if it is clean or not. This means you can only use the information that the agent has. Nothing more.