Lunar Lander AI Agent
PyGame simulation of Apollo Lunar Lander physics with a policy expert and Q-learning agent optimizing landing efficiency.
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Explored control policies in a partially observable environment by combining a policy-based expert system with a Q-learning agent. Focused on learning stability and safe landing under noisy dynamics.