Adaptive Sampling using Stein's Discrepancy
Project Description
Investigation into the usage of different sampling methods based on Stein’s discrepancy in the context of Curriculum Learning.
Implemented both a gradient-based approach (Stein’s Variational Gradient Descent1) and a direct minimization method (Stein Points2) in jax and evaluated them on different RL baselines.
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Liu et al., Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm ↩︎
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Chen et al., Stein Points ↩︎
