This repository contains a reinforcement learning (RL) algorithm based on the Deep Q-Network (DQN) implemented in the Robot Operating System (ROS) framework for the purpose of balancing a pole. The DQN algorithm is used to train an agent to balance a pole mounted on a cart.
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This repository contains a reinforcement learning (RL) algorithm based on the Deep Q-Network (DQN) implemented in the Robot Operating System (ROS) framework for the purpose of balancing a pole. The DQN algorithm is used to train an agent to balance a pole mounted on a cart.
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patweatharva/ROS_CartPole_DQN
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This repository contains a reinforcement learning (RL) algorithm based on the Deep Q-Network (DQN) implemented in the Robot Operating System (ROS) framework for the purpose of balancing a pole. The DQN algorithm is used to train an agent to balance a pole mounted on a cart.
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