We present C-Procgen, an enhanced suite of environments on top of the Procgen benchmark. C-Procgen provides access to over 200 unique game contexts across 16 games. It allows for detailed configuration of environments, ranging from game mechanics to agent attributes. This makes the procedural generation process, previously a black-box in Procgen, more transparent and adaptable for various research needs.The upgrade enhances dynamic context management and individualized assignments, while maintaining computational efficiency. C-Procgen's controllable contexts make it applicable in diverse reinforcement learning research areas, such as learning dynamics analysis, curriculum learning, and transfer learning. We believe that C-Procgen will fill a gap in the current literature and offer a valuable toolkit for future works.

C-Procgen是一个增强的环境套件，基于Procgen基准上构建，提供了16个游戏中超过200种独特的游戏环境。它允许详细配置环境，从游戏机制到代理属性，使得以前在Procgen中的程序生成过程更加透明和可适应各种研究需求。C-Procgen的可控环境使其适用于强化学习研究的各个领域，如学习动态分析、课程学习和迁移学习。我们相信C-Procgen将填补当前文献中的空白，并为未来的研究提供一个有价值的工具包。

C-Procgen: 控制上下文的 Procgen 强化