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A single-pass method combines online k-means palette refinement with ordered Bayer dithering, eliminating the separate pixel-mapping step and yielding slight speedups while producing visually interesting results.
An AI coding contest compares Claude and Gemini on a weighted knight's tour problem variant where the cost of each move depends on accumulated load from visited squares.
OpenAI researchers introduce E-MAML and E-RL², two meta-reinforcement learning algorithms designed to improve exploration in tasks where discovering optimal policies requires significant exploration. The work demonstrates these algorithms' effectiveness on novel environments including Krazy World and maze tasks.