Policy Learning Method

Policy learning methods aim to develop algorithms that learn optimal decision-making strategies from data, often in complex environments with multiple objectives or constraints. Current research emphasizes improving sample efficiency and generalizability, focusing on techniques like matrix completion bandits, adaptive policy gradients, and pessimistic policy learning, often incorporating decision trees or neural networks for policy representation. These advancements are crucial for applications ranging from personalized recommendations and robotics to healthcare, enabling more effective and data-efficient decision-making in diverse real-world scenarios.

Papers

May 3, 2024

Multi-Objective Recommendation via Multivariate Policy Learning
Olivier Jeunen, Jatin Mandav, Ivan Potapov, Nakul Agarwal, Sourabh Vaid, Wenzhe Shi, Aleksei Ustimenko
Real World Multi Objective Reward Signal Scalable Algorithm Weighted Sum Scalarization Policy Learning Method Multi Task Policy

April 26, 2024

Online Policy Learning and Inference by Matrix Completion
Congyuan Duan, Jingyang Li, Dong Xia
Scientific Inference Matrix Completion Online Gradient Descent Epsilon Greedy Policy Learning Method Policy Inference

March 15, 2024

Online Policy Learning from Offline Preferences
Guoxi Zhang, Han Bao, Hisashi Kashima
Reward Function Preference Based Reinforcement Learning Offline Preference Policy Learning Method

January 3, 2024

On Time-Indexing as Inductive Bias in Deep RL for Sequential Manipulation Tasks
M. Nomaan Qureshi, Ben Eisner, David Held
Deep Reinforcement Learning Inductive Bias Manipulation Task Skill Learning Deep RL Sequential Manipulation Policy Learning Method Policy Architecture

November 23, 2023

Fast Policy Learning for Linear Quadratic Control with Entropy Regularization
Xin Guo, Xinyu Li, Renyuan Xu
Policy Gradient Optimal Policy Policy Iteration Entropy Regularization Policy Learning Method

May 30, 2023

NetHack is Hard to Hack
Ulyana Piterbarg, Lerrel Pinto, Rob Fergus
Reinforcement Learning Neural Agent Policy Learning Method Deep Policy NetHack Learning

May 24, 2023

Adaptive Policy Learning to Additional Tasks
Wenjian Hao, Zehui Lu, Zihao Liang, Tianyu Zhou, Shaoshuai Mou
Policy Gradient New Task Policy Learning Method Deterministic Policy Gradient

April 10, 2023

For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal
Yingdong Hu, Renhao Wang, Li Erran Li, Yang Gao
Reinforcement Learning Pre Trained Model Pre Trained Policy Learning Method Downstream Policy Learning Motion Skill

December 19, 2022

Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality
Ying Jin, Zhimei Ren, Zhuoran Yang, Zhaoran Wang
Optimal Policy Policy Learning Efficient Policy Learning Policy Learning Method Soft Inequality Individualized Decision

September 18, 2022

Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes
Zuyue Fu, Zhengling Qi, Zhaoran Wang, Zhuoran Yang, Yanxun Xu, Michael R. Kosorok
Markov Decision Process Offline Reinforcement Learning Policy Learning Instrumental Variable Policy Learning Method

August 9, 2022

Generalized Reinforcement Learning: Experience Particles, Action Operator, Reinforcement Field, Memory Association, and Decision Concepts
Po-Hsiang Chiu, Manfred Huber
Reinforcement Learning Associative Memory Action Model Decision Theory Policy Learning Method

July 20, 2022

Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction
Chia-Chi Chuang, Donglin Yang, Chuan Wen, Yang Gao
Imitation Learning Feature Imitation Expert Demonstration Residual Reinforcement Learning Visual Imitation Learning Policy Learning Method High Dimensional Image

May 17, 2022

Self-Supervised Learning of Multi-Object Keypoints for Robotic Manipulation
Jan Ole von Hartz, Eugenio Chisari, Tim Welschehold, Abhinav Valada
Self Supervised Learning Robotic Manipulation Manipulation Task Arbitrary Keypoints Policy Learning Method Downstream Policy Learning Sample Efficient Policy

March 15, 2022

POETREE: Interpretable Policy Learning with Adaptive Decision Trees
Alizée Pace, Alex J. Chan, Mihaela van der Schaar
Decision Tree Clinical Decision Support System Policy Learning Method Decision Tree Policy

December 2, 2021

Generalizing Off-Policy Learning under Sample Selection Bias
Tobias Hatt, Daniel Tschernutter, Stefan Feuerriegel
Stronger Generalizability Selection Bias Policy Learning Method Decision Policy

November 8, 2021

Safe Data Collection for Offline and Online Policy Learning
Ruihao Zhu, Branislav Kveton
Policy Learning Optimal Regret Data Collection Action Free Offline Offline Policy Learning Policy Learning Method