Improving the Efficiency of Deep Reinforcement Learning in NetHack Using VAE and Proposing Additional Rewards
Deep reinforcement learning (DRL) has been widely used in agent research across various video games, demonstrating its effectiveness. Recently, there has been increasing interest in DRL research in complex environments such as Roguelike games. Among them, the game NetHack has gained research attenti...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Wiley
2026-01-01
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| Serier: | International Journal of Computer Games Technology |
| Online adgang: | http://dx.doi.org/10.1155/ijcg/9867761 |
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