MA-BC: Provably Efficient Multi-Objective Imitation Learning from Heterogeneous Experts
Yossarian_1234 · reddit · 2026-10-08
A new paper addresses learning from experts with different objectives: naively pooling demonstrations loses individual trade-offs, while per-expert learning wastes shared data. MA-BC splits demonstrations where observed actions disagree and pools the rest, with proven upper and lower bounds on sample complexity.
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