AI Conquers Pokémon Red: A Tiny RL Agent Triumphs
2025-03-05
A team successfully beat the 1996 game Pokémon Red using reinforcement learning (RL) with a policy containing fewer than 10 million parameters—over 60,000 times smaller than DeepSeekV3. The project is open-source and leverages existing Pokémon reverse engineering tools and game emulators. The team chose RL for its efficient data collection, eliminating the need for large pre-trained datasets. This represents a breakthrough in AI conquering complex games, setting a new benchmark for RL in more challenging environments.
AI
AI Games