PokemonRedExperiments

The Pokemon Red Experiments repository allows users to train reinforcement learning agents to play the Pokemon Red game by utilizing an updated and optimized training script (V2) that improves performance and resource management. Key features include interactive gameplay with a pretrained model, the ability to stream training sessions to a global map for collaboration, and detailed progress tracking through local metrics and tensorboard integration. The tool is designed for researchers and developers interested in combining gaming with artificial intelligence experimentation.