Tags: Game AI

New Metric TCP Quantifies Transition Complexity in Reinforcement Learning Game Environments

AI

New Metric TCP Quantifies Transition Complexity in Reinforcement Learning Game Environments

To address the difficulty of comparing game worlds in reinforcement learning research, an arXiv paper proposes the Transition Complexity Profile (TCP). It quantifies environmental unpredictability along three axes, aiming to standardize benchmarking.

August 22, 2026

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