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Found 2 papers, 1 papers with code
Sampling-based optimal kinodynamic planning with motion primitives
Nodes are progressively added to the tree of feasible trajectories in the RRT* algorithm by extracting at random a sample in the gridded state space and selecting the best obstacle-free motion primitive in the database that joins it to an existing node.
Robotics
Adaptive Step-Size for Policy Gradient Methods
In the last decade, policy gradient methods have significantly grown in popularity in the reinforcement--learning field.
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