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Sparse rewards can now drive complex loco-manipulation skills, enabling robots to learn faster and perform better than traditional methods.
Unleash your legged robots: Sumo lets them dynamically manipulate objects far exceeding their weight and size limits, all without task-specific retraining.
Humanoid robots can now learn robust object manipulation and navigation entirely through reinforcement learning, surpassing imitation learning methods in real-world adaptability.
