Marginal Utility for Planning in Continuous or Large Discrete Action Spaces

Oct-2-2025, 04:42:53 GMT–Neural Information Processing Systems

Generating good candidate actions is critical to the success of sample-based planners, particularly in continuous or large action spaces.

generator, machine learning, reinforcement learning, (20 more...)

Neural Information Processing Systems

Oct-2-2025, 04:42:53 GMT

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