Download Deep Reinforcement Learning in Games PDF Free - Full Version
Download Deep Reinforcement Learning in Games by ['Luciano'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Deep Reinforcement Learning in Games
The document discusses how to teach AI to play games using deep reinforcement learning. It explains that deep reinforcement learning combines neural networks and Q-learning to train an agent to play the game Snake without any rules given. The agent learns to maximize its score by trial and error. It is trained using a deep Q-network that takes the game state as input and outputs the best action. The network is updated using rewards when the agent eats food or crashes, with the goal of learning an optimal policy to get the highest score. After only 5 minutes of training, the agent is able to score over 50 points in Snake by learning an effective strategy.
Detailed Information
| Author: | ['Luciano'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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