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Papers
A Convex Framework for Confounding Robust Inference
JMLR 2026
Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood
JMLR 2026
Continuous time policy evaluation is easier with noisy dynamics
COLT 2026
Randomization for Faster Exact Optimization of Discounted Markov Decision Processes
COLT 2026
Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear q^π-Realizability and Concentrability
COLT 2026
Variance Reduction via Resampling and Experience Replay
AAAI 2026
Adaptive Exploration for Multi-Reward Multi-Policy Evaluation
ICML 2025
Adversarially-Robust TD Learning with Markovian Data: Finite-Time Rates and Fundamental Limits
AISTATS 2025
Agent-based Modeling for Policy-Making in Inequity Contexts
IJCAI 2025
Concentration of Cumulative Reward in Markov Decision Processes
JMLR 2025
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data
AAAI 2025
Doubly Optimal Policy Evaluation for Reinforcement Learning
ICLR 2025
Estimating Value of Assistance for Online POMDP Robotic Agents
CoRL 2025
Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learning
IJCAI 2025
On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls
JMLR 2025
Random Policy Evaluation Uncovers Policies of Generative Flow Networks
ICML 2025
Rank-One Modified Value Iteration
ICML 2025
Rule-Guided Reinforcement Learning Policy Evaluation and Improvement
IJCAI 2025
Selective Uncertainty Propagation in Offline RL
AAAI 2025
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation (Extended Abstract)
COLT 2025
Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do
ICLR 2025
Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning
ICLR 2025
Balancing Context Length and Mixing Times for Reinforcement Learning at Scale
NeurIPS 2024
Combining Experimental and Historical Data for Policy Evaluation
ICML 2024
Efficient Policy Evaluation Across Multiple Different Experimental Datasets
NeurIPS 2024