Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information

9 June 2022

Papers citing "Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information"

20 / 20 papers shown

Title
Learning Fused State Representations for Control from Multi-View Observations Zeyu Wang Yao Li Xin Li Hongyu Zang Romain Laroche Riashat Islam OffRL 173 1 0 03 Feb 2025
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples Thomas T. Zhang Bruce D. Lee Ingvar M. Ziemann George J. Pappas Nikolai Matni CML OOD 145 0 0 15 Oct 2024
Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory Alexander Levine Peter Stone Amy Zhang OffRL 112 0 0 03 Oct 2024
Learning Latent Dynamic Robust Representations for World Models Ruixiang Sun Hongyu Zang Xin-hui Li Riashat Islam 74 5 0 10 May 2024
Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPs Lili Wu Ben Evans Riashat Islam Raihan Seraj Yonathan Efroni Alex Lamb 92 1 0 22 Apr 2024
Multistep Inverse Is Not All You Need Alexander Levine Peter Stone Amy Zhang AI4CE 106 4 0 18 Mar 2024
Optimizing Heat Alert Issuance with Reinforcement Learning Ellen M. Considine Rachel C. Nethery G. Wellenius Francesca Dominici Mauricio Tec OffRL 94 0 0 21 Dec 2023
Learning an Inventory Control Policy with General Inventory Arrival Dynamics Sohrab Andaz Carson Eisenach Dhruv Madeka Kari Torkkola Randy Jia Dean Phillips Foster Sham Kakade 59 2 0 26 Oct 2023
When is Agnostic Reinforcement Learning Statistically Tractable? Zeyu Jia Gene Li Alexander Rakhlin Ayush Sekhari Nathan Srebro OffRL 118 5 0 09 Oct 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability Chuning Zhu Max Simchowitz Siri Gadipudi Abhishek Gupta 98 14 0 31 Aug 2023
Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL Zakaria Mhammedi Dylan J. Foster Alexander Rakhlin 106 18 0 12 Apr 2023
Reinforcement Learning with Exogenous States and Rewards George Trimponias Thomas G. Dietterich OffRL 65 2 0 22 Mar 2023
Minimal Value-Equivalent Partial Models for Scalable and Robust Planning in Lifelong Reinforcement Learning Safa Alver Doina Precup OffRL 59 5 0 24 Jan 2023
Representation Learning in Deep RL via Discrete Information Bottleneck Riashat Islam Hongyu Zang Manan Tomar Aniket Didolkar Md. Mofijul Islam ... Tariq Iqbal Xin-hui Li Anirudh Goyal N. Heess Alex Lamb SSL OffRL 69 8 0 28 Dec 2022
Malign Overfitting: Interpolation Can Provably Preclude Invariance Yoav Wald G. Yona Uri Shalit Y. Carmon 115 7 0 28 Nov 2022
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information Riashat Islam Manan Tomar Alex Lamb Yonathan Efroni Hongyu Zang ... Dipendra Kumar Misra Xin-hui Li H. V. Seijen Rémi Tachet des Combes John Langford OffRL 61 7 0 31 Oct 2022
The Role of Coverage in Online Reinforcement Learning Tengyang Xie Dylan J. Foster Yu Bai Nan Jiang Sham Kakade OffRL 85 60 0 09 Oct 2022
Deep Inventory Management Dhruv Madeka Kari Torkkola Carson Eisenach Anna Luo Dean Phillips Foster Sham M. Kakade BDL 85 15 0 06 Oct 2022
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models Alex Lamb Riashat Islam Yonathan Efroni Aniket Didolkar Dipendra Kumar Misra Dylan J. Foster Lekan Molu Rajan Chari A. Krishnamurthy John Langford 99 24 0 17 Jul 2022
Hindsight Learning for MDPs with Exogenous Inputs Sean R. Sinclair Felipe Vieira Frujeri Ching-An Cheng Luke Marshall Hugo Barbalho Jingling Li Jennifer Neville Ishai Menache Adith Swaminathan 69 23 0 13 Jul 2022