Co-occurring keywords · papers mentioning both
Papers
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
ICLR 2023
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction
AAAI 2023
Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions
NeurIPS 2022
Marginalized Operators for Off-policy Reinforcement Learning
AISTATS 2022
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
ICML 2021
Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling
NeurIPS 2019