FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.
The researchers' robot planning approach considers thousands of possible actions simultaneously, enabling it to rapidly determine how to manipulate and tightly pack items without damaging them, like ...
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