Investigating Reinforcement Learning Agents for Continuous State Space Environments

8 Aug 2017 · David Von Dollen ·

Given an environment with continuous state spaces and discrete actions, we investigate using a Double Deep Q-learning Reinforcement Agent to find optimal policies using the LunarLander-v2 OpenAI gym environment.

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OpenAI Gym

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reinforcement-learning

Reinforcement Learning (RL)

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