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The Variational Method of Moments
The conditional moment problem is a powerful formulation for describing ...
12/17/2020 ∙ by Andrew Bennett, et al. ∙
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Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
Off-policy evaluation (OPE) in reinforcement learning is an important pr...
07/27/2020 ∙ by Andrew Bennett, et al. ∙
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Efficient Policy Learning from Surrogate-Loss Classification Reductions
Recent work on policy learning from observational data has highlighted t...
02/12/2020 ∙ by Andrew Bennett, et al. ∙
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Policy Evaluation with Latent Confounders via Optimal Balance
Evaluating novel contextual bandit policies using logged data is crucial...
08/06/2019 ∙ by Andrew Bennett, et al. ∙
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Deep Generalized Method of Moments for Instrumental Variable Analysis
Instrumental variable analysis is a powerful tool for estimating causal ...
05/29/2019 ∙ by Andrew Bennett, et al. ∙
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Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction
We propose to decompose instruction execution to goal prediction and act...
09/04/2018 ∙ by Dipendra Misra, et al. ∙
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Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning
We introduce a method for following high-level navigation instructions b...
05/31/2018 ∙ by Valts Blukis, et al. ∙
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