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About Deep Reniforcement Leanring Paper
This document proposes a new neural network architecture called the Neural Map for deep reinforcement learning agents. The Neural Map is a structured memory designed for agents operating in 3D environments. It overcomes limitations of previous memory architectures by using an adaptable write operation and a 2D map-like structure to store information about the environment over long periods of time. The authors demonstrate that the Neural Map outperforms LSTMs and memory networks on maze tasks and can generalize to new mazes.
Detailed Information
| Author: | ['Anika Tasnim'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 13 |
| Language: | English |
| Format: | |
| Price: | FREE |
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