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Policy Learning

14 directly classified papers

Papers per year

Papers

DrFrattn: Directly Learn Adaptive Policy from Attention for Simultaneous Machine Translation EMNLP 2025
The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space NIPS 2024
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective NIPS 2024
ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints NIPS 2023
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning ICML 2023
Learning Optimal Policy for Simultaneous Machine Translation via Binary Search ACL 2023
Soft Action Priors: Towards Robust Policy Transfer AAAI 2023
Explicable Policy Search NIPS 2022
Learning to Constrain Policy Optimization with Virtual Trust Region NIPS 2022
Policy Search by Target Distribution Learning for Continuous Control AAAI 2020
Balanced Policy Evaluation and Learning NIPS 2018
Confounding-Robust Policy Improvement NIPS 2018
Policy Evaluation and Optimization with Continuous Treatments AISTATS 2018
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback ICML 2015