LLM Agents Play Pokemon Showdown
Researchers have built autonomous agents powered by large language models that can compete in the online battling platform Pokemon Showdown. The system interprets game state, generates strategic moves, and interacts with the game's interface without human input. Experiments show the agents can learn effective tactics and adapt to opponents, demonstrating a new application of LLMs in real-time decision‑making environments.