Chinese Checker

Chinese Checkers, a classic board game, serves as a compelling testbed for advancing multi-agent reinforcement learning (MARL) and large language model (LLM) applications. Current research focuses on developing efficient MARL algorithms, particularly those employing parameter sharing, to master the game's complex state space and branching factor, often incorporating novel action representations. Furthermore, LLMs are being explored for task planning and error correction in robotic systems, using Chinese Checkers as a benchmark for evaluating the robustness and reliability of these models. These studies contribute to a broader understanding of both MARL and LLM capabilities, with implications for developing more sophisticated AI agents and human-robot interaction systems.