Chrome Dino Run using Reinforcement Learning

15 Aug 2020 • Divyanshu Marwah • Sneha Srivastava • Anusha Gupta • Shruti Verma

Reinforcement Learning is one of the most advanced set of algorithms known to mankind which can compete in games and perform at par or even better than humans. In this paper we study most popular model free reinforcement learning algorithms along with convolutional neural network to train the agent for playing the game of Chrome Dino Run... (read more)

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Q-LEARNING

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METHOD	TYPE
Q-Learning	Off-Policy TD Control
Experience Replay	Replay Memory
Double Q-learning	Off-Policy TD Control
Expected Sarsa	On-Policy TD Control
Convolution	Convolutions
Dense Connections	Feedforward Networks
Double DQN	Q-Learning Networks
DQN	Q-Learning Networks
Sarsa	On-Policy TD Control

METHOD

TYPE

Q-Learning