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The Lunar Lander v2 environment is learnt using Deep Q Learning in Pytorch

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LunarLander-DQN-DDQN

The Lunar Lander v2 environment is learnt using Deep Q Reinforcement Learning in Pytorch

Both DQN and DDQN are tested in this project. DDQN uses Hard Copy in order to update the target network.
Sample videos are in the videos folder.
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The Lunar Lander v2 environment is learnt using Deep Q Learning in Pytorch

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