C-Procgen: Empowering Procgen with Controllable Contexts
This provides a more controllable toolkit for reinforcement learning researchers, though it is incremental as it builds directly on an existing benchmark.
The authors tackled the problem of limited transparency and adaptability in the Procgen benchmark by introducing C-Procgen, an enhanced suite with over 200 unique game contexts across 16 games, enabling detailed configuration of environments while maintaining computational efficiency.
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.