conftrace_

off-policy evaluation

176 papers

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OPE

Co-occurring keywords · papers mentioning both

reinforcement learning (38) importance sampling (38) contextual bandit (24) causal inference (21) markov decision process (17) variance reduction (14) offline reinforcement learning (13) doubly robust estimator (12) confidence interval (11) policy optimization (9)

Papers

Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning L4DC 2026 Bayesian Off-Policy Evaluation and Learning for Large Action Spaces AISTATS 2025 Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation UAI 2025 Clustering Context in Off-Policy Evaluation AISTATS 2025 Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits ICLR 2025 Cross-Validated Off-Policy Evaluation AAAI 2025 Distributional Off-policy Evaluation with Bellman Residual Minimization AISTATS 2025 Efficient Multi-Policy Evaluation for Reinforcement Learning AAAI 2025 Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect AISTATS 2025 Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning ICML 2025 Minimum Empirical Divergence for Sub-Gaussian Linear Bandits AISTATS 2025 Off-Policy Evaluation under Nonignorable Missing Data ICML 2025 Primal-Dual Spectral Representation for Off-policy Evaluation AISTATS 2025 Robust Offline Policy Learning with Observational Data from Multiple Sources AISTATS 2025 Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs ICLR 2025 Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation NeurIPS 2024 Confident Natural Policy Gradient for Local Planning in q_π-realizable Constrained MDPs NeurIPS 2024 Data-Efficient Policy Evaluation Through Behavior Policy Search JMLR 2024 Distributional Off-Policy Evaluation for Slate Recommendations AAAI 2024 Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes NeurIPS 2024 EpiCare: A Reinforcement Learning Benchmark for Dynamic Treatment Regimes NeurIPS 2024 Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring AAAI 2024 Hyperparameter Optimization Can Even Be Harmful in Off-Policy Learning and How to Deal with It IJCAI 2024 Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies ICLR 2024 Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NeurIPS 2024