Co-occurring keywords · papers mentioning both
doubly robust estimation
(2)
inverse probability weighting
(2)
contextual bandit
(2)
distributionally robust optimization
(2)
policy evaluation
(2)
neural network function approximation
(1)
user-agent interaction
(1)
minimax-optimal bound
(1)
observational bandit feedback
(1)
personalized decision policy
(1)
Papers
Wasserstein Policy Learning for Distributional Outcomes
COLT 2026
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data
AAAI 2025
Rates for Offline Reinforcement Learning with Adaptively Collected Data
L4DC 2025
Robust Offline Policy Learning with Observational Data from Multiple Sources
AISTATS 2025
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization
ICLR 2022
Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits
ICML 2020
A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation
NeurIPS 2019