PCGRLLM: Large Language Model-Driven Reward Design for Procedural Content Generation Reinforcement Learning 事件

PCGRLLM: Large Language Model-Driven Reward Design for Procedural Content Generation Reinforcement Learning arXiv:2502.10906v2 Announce Type: replace Abstract: Reward design plays a pivotal role in the training of game AIs, requiring substantial domain-specific knowledge and human effort. In recent years, several studies have explored reward generation for training game agents and controlling robots using large language models (LLMs). In the content generation literature, there has been early w