State-adaptive policy regularization (SAPPS) for smooth control in continuous-control reinforcement learning, with simulation and real-world experiments.
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Updated
Feb 23, 2026 - Python
State-adaptive policy regularization (SAPPS) for smooth control in continuous-control reinforcement learning, with simulation and real-world experiments.
An embodied agent framework for orchestrating long-horizon, multi-module tasks in real-world robotics.
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