CSDG modifies the offline Bellman backup by scaling a smoothed convex-hull-neighborhood correction against an in-sample expectile target and reports strong D4RL aggregate performance.
Conservative q-learning for offline reinforcementlearning.Advancesinneuralinformationprocessingsystems,33:1179–1191,2020
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Convex-Hull-Neighborhood Smooth Dual Generalization: Controlling Local Correction Propagation in Offline RL
CSDG modifies the offline Bellman backup by scaling a smoothed convex-hull-neighborhood correction against an in-sample expectile target and reports strong D4RL aggregate performance.