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policy evaluation

115 papers

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Also known as

OPE

Co-occurring keywords

reinforcement learning (4122) temporal difference learning (149) value function (294) offline reinforcement learning (492) causal inference (1619) function approximation (319) off-policy learning (227) markov decision process (788) temporal-difference learning (42) linear function approximation (101)

Papers

Optimal and Fair Encouragement Policy Evaluation and Learning NIPS 2023
Statistical Inference on Multi-armed Bandits with Delayed Feedback ICML 2023
Policy Evaluation in Distributional LQR L4DC 2023
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning CVPR 2023
Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains (Extended Abstract) IJCAI 2023
AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems NIPS 2023
Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks JMLR 2023
Kernel Conditional Moment Constraints for Confounding Robust Inference AISTATS 2023
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games NIPS 2023
Revisiting Bellman Errors for Offline Model Selection ICML 2023
The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation ICML 2023
Bootstrapped Representations in Reinforcement Learning ICML 2023
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation ICML 2023
Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach NIPS 2023
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off NIPS 2023
Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition JMLR 2023
Why Target Networks Stabilise Temporal Difference Methods ICML 2023
A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions AAAI 2022
Policy Evaluation and Temporal-Difference Learning in Continuous Time and Space: A Martingale Approach JMLR 2022
Offline stochastic shortest path: Learning, evaluation and towards optimality UAI 2022
On the Assumptions of Synthetic Control Methods AISTATS 2022
Offline Policy Selection under Uncertainty AISTATS 2022
Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation AISTATS 2022
Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning AISTATS 2022
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation COLT 2022