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Policy Learning

15 papers

Papers per year

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Papers

Proximity-Based Multi-Turn Optimization: Practical Credit Assignment for LLM Agent Training ACL 2026

DrFrattn: Directly Learn Adaptive Policy from Attention for Simultaneous Machine Translation EMNLP 2025

A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective NIPS 2024

The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space NIPS 2024

ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints NIPS 2023

Soft Action Priors: Towards Robust Policy Transfer AAAI 2023

Learning Optimal Policy for Simultaneous Machine Translation via Binary Search ACL 2023

Policy Regularization with Dataset Constraint for Offline Reinforcement Learning ICML 2023

Learning to Constrain Policy Optimization with Virtual Trust Region NIPS 2022

Explicable Policy Search NIPS 2022

Policy Search by Target Distribution Learning for Continuous Control AAAI 2020

Confounding-Robust Policy Improvement NIPS 2018

Balanced Policy Evaluation and Learning NIPS 2018

Policy Evaluation and Optimization with Continuous Treatments AISTATS 2018

Counterfactual Risk Minimization: Learning from Logged Bandit Feedback ICML 2015