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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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

METHOD

TYPE

Prioritized Experience Replay