activity
20202026
most citedReinforcement Learning with Dual-Observation for General Video Game Playing

12 citations · 14 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.AI2024

3D Building Generation in Minecraft via Large Language Models

Shiying Hu, Zengrong Huang, Chengpeng Hu +1

Recently, procedural content generation has exhibited considerable advancements in the domain of 2D game level generation such as Super Mario Bros. and Sokoban through large langua…

cs.AI2024★ 1 cited

Game Generation via Large Language Models

Chengpeng Hu, Yunlong Zhao, Jialin Liu

Recently, the emergence of large language models (LLMs) has unlocked new opportunities for procedural content generation. However, recent attempts mainly focus on level generation…

cs.AI2023

Generating Redstone Style Cities in Minecraft

Shuo Huang, Chengpeng Hu, Julian Togelius +1

Procedurally generating cities in Minecraft provides players more diverse scenarios and could help understand and improve the design of cities in other digital worlds and the real…

cs.AI2023★ 1 cited

Games for Artificial Intelligence Research: A Review and Perspectives

Chengpeng Hu, Yunlong Zhao, Ziqi Wang +2

Games have been the perfect test-beds for artificial intelligence research for the characteristics that widely exist in real-world scenarios. Learning and optimisation, decision ma…

cs.AI2020★ 12 cited

Reinforcement Learning with Dual-Observation for General Video Game Playing

Chengpeng Hu, Ziqi Wang, Tianye Shu +4

Reinforcement learning algorithms have performed well in playing challenging board and video games. More and more studies focus on improving the generalisation ability of reinforce…