Co-occurring keywords · papers mentioning both
Papers
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models
NeurIPS 2022
Off-Policy Evaluation for Large Action Spaces via Embeddings
ICML 2022
Off-Policy Evaluation with Deficient Support Using Side Information
NeurIPS 2022
Off-Policy Evaluation with Policy-Dependent Optimization Response
NeurIPS 2022
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory
ICML 2022
Off-Policy Risk Assessment for Markov Decision Processes
AISTATS 2022
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation
ICML 2022
PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method
ICLR 2022
Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems
NAACL 2022
Stateful Offline Contextual Policy Evaluation and Learning
AISTATS 2022
Supervised Off-Policy Ranking
ICML 2022
Active Offline Policy Selection
NeurIPS 2021
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
ICML 2021
Average-Reward Off-Policy Policy Evaluation with Function Approximation
ICML 2021
BCORLE(λ): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market
NeurIPS 2021
Benchmarks for Deep Off-Policy Evaluation
ICLR 2021
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference
ICML 2021
Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting
AISTATS 2021
Control Variates for Slate Off-Policy Evaluation
NeurIPS 2021
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings
NeurIPS 2021
Deeply-Debiased Off-Policy Interval Estimation
ICML 2021
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation
NeurIPS 2021
High-Confidence Off-Policy (or Counterfactual) Variance Estimation
AAAI 2021
Learning "What-if" Explanations for Sequential Decision-Making
ICLR 2021
Minimax Model Learning
AISTATS 2021