Gunner: playing FPS game Doom with scalable deep reinforcement learning
Since the introduction of the Deep Q-Network (DQN) algorithm, the reinforcement learning research community has advanced rapidly. Much of the research has focused on the Atari 2600, which uses 2D environments to simulate aspects of the real world. However, 3D game environments are more advantageous...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
PeerJ Inc.
2025-12-01
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| Colecção: | PeerJ Computer Science |
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| Acesso em linha: | https://peerj.com/articles/cs-3410.pdf |
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