2020
Marginal Utility for Planning in Continuous or Large Discrete Action Spaces
NeurIPS 2020poster
Sample-based planning is a powerful family of algorithms for generating intelligent behavior from a model of the environment. Generating good candidate actions is critical to the success of sample-based planners, particularly in continuous or large action spaces. Typically, candidate action generati…