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Variational Inference with Tail-adaptive f-Divergence

Neural Information Processing Systems

However, estimating and optimizingฮฑ-divergences require to use importance sampling, which may havelarge orinfinite variance due to heavy tails ofimportance weights.




ContrastiveIntrinsicControlforUnsupervised ReinforcementLearning

Neural Information Processing Systems

Unlikeknowledge-based anddata-basedalgorithms, competence-based algorithms simultaneously address both the exploration challenge as well as distilling the generated experience in the form of reusable skills.