Maike Osborne

Auxiliary data can dramatically enhance constrained Bayesian Optimization, even when weakly correlated, leading to superior exploration and solution identification.

Hierarchical policies aren't just for horizon reduction; they can unlock powerful state-space abstraction for dramatic gains in offline goal-conditioned RL.