Chrome Dino Run using Reinforcement Learning

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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Methods used in the Paper


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