lunar-lander-dqn

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DQN Solution for LunarLander-v3 (Gymnasium) | Reinforcement learning agent using Deep Q-Network (DQN) to land a lunar module safely. Implements experience replay, target networks, and training visualization. This project serves as a hands-on reinforcement learning experiment for solving continuous control tasks using deep Q-learning.

ai deep-q-network dqn gymnasium lunar-lander machine-learning pytorch reinforcement-learning

Creat：2025-03-08T10:54:24

Update：2025-03-12T11:07:22

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