Off-Policy Learning
38 papers
Papers per year
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Papers
Imitation Learning via Off-Policy Distribution Matching
ICLR 2020
Population-Guided Parallel Policy Search for Reinforcement Learning
ICLR 2020
Ranking Policy Gradient
ICLR 2020
Importance Resampling for Off-policy Prediction
NeurIPS 2019
Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy
ICLR 2019
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning
NeurIPS 2017
The Self-Normalized Estimator for Counterfactual Learning
NeurIPS 2015
Weighted importance sampling for off-policy learning with linear function approximation
NeurIPS 2014
Regularized Off-Policy TD-Learning
NeurIPS 2012
The Fixed Points of Off-Policy TD
NeurIPS 2011
Double Q-learning
NeurIPS 2010
Learning from Logged Implicit Exploration Data
NeurIPS 2010
A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation
NeurIPS 2008