Lunar Lander Reinforcement Learning Agent

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• Implemented reinforcement learning algorithms to control agents to land on a simulated moon in OpenAI Gym.
• Trained deep Q-Learning network with RMSProp to control action selection.
• Explored the effects of different learning parameters on agent success and behavior.
• Software: Python, Jupyter, OpenAI Gym
• Keywords: Reinforcement Learning (RL), Function Approximation, SARSA, Q-Learning