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A vanilla Deep Q-Network (DQN), Double DQN and Dueling DQN implementation for MountainCar-v0 and CartPole-v0

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Assignment 2 for 10-703 Deep Reinforcement Learning and Control - CMU

dueling_double_dqn

Code was tested with Python version 2.7

usage: all_dqns.py [-h] [--env ENV] [--model MODEL_NAME]

Deep Q Network Argument Parser

optional arguments: -h, --help show this help message and exit --env ENV ("CartPole-v0" for CP [default], "MountainCar-v0" for MC) --model MODEL_NAME ("dqn" for DQN [default], "ddqn" for DDQN, "dueling" for Dueling)

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A vanilla Deep Q-Network (DQN), Double DQN and Dueling DQN implementation for MountainCar-v0 and CartPole-v0

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