Dueling Deep Q Learning is Simple in PyTorch

Let's code a dueling deep q learning agent to beat the lunar lander environment. Dueling Deep Q learning is pretty cool in that it splits the Q network into a value function and an advantage function. This unique twist on the algorithm provides a significant improvement in convergence speed in the lunar lander environment from the OpenAI gym.

Dueling Deep networks can also be incorporated into double deep q learning, or really any variant of deep Q learning as the only real change is the splitting of the Q function into a value and an advantage stream.

#DuelingDeepQLearning #PyTorch #OpenAIGym

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