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Google's AI subsidiary DeepMind unveiled DreamerV3, a scalable reinforcement learning algorithm (RL), based on world models that claim to outperform previous approaches across different domains with fixed hyperparameters. These areas include continuous and discrete actions, visual and low-dimensional inputs, 2D and 3D worlds, different data budgets, reward frequencies, and reward scales.? DreamerV3 is the first RL to solve the long-standing Minecraft diamond challenge without human data or domain-specific heuristics.  Read the full paper here.  Features of DreamerV3 According to DeepMind, DreamerV3 exhibits better scaling features, with larger models directly translating to better data efficiency and overall performance. In addition, its general algorithm permits sca