Balancing a CartPole System with Reinforcement Learning -- A Tutorial

8 Jun 2020 Swagat Kumar

In this paper, we provide the details of implementing various reinforcement learning (RL) algorithms for controlling a Cart-Pole system. In particular, we describe various RL concepts such as Q-learning, Deep Q Networks (DQN), Double DQN, Dueling networks, (prioritized) experience replay and show their effect on the learning performance... (read more)

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Methods used in the Paper


METHOD TYPE
Prioritized Experience Replay
Replay Memory
Dueling Network
Q-Learning Networks
Q-Learning
Off-Policy TD Control
Dense Connections
Feedforward Networks
Double Q-learning
Off-Policy TD Control
DQN
Q-Learning Networks
Convolution
Convolutions
Double DQN
Q-Learning Networks
Experience Replay
Replay Memory