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Using Reinforcement learning to Maximize visibility of an agent moving in an bounded environment with obstacles.

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rl_maxm-visibility

Using Reinforcement learning to Maximize visibility of an agent moving in an bounded environment with obstacles.

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Initial Trials

Trials performed with steps increasing every episode starting with 50 and a maximum of 150. The training was performed for 1000 episodes. Trial with Steps [50,150]

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Using Reinforcement learning to Maximize visibility of an agent moving in an bounded environment with obstacles.

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