Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning

15 May 2020

Papers citing "Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning"

7 / 7 papers shown

Title
Counting Hours, Counting Losses: The Toll of Unpredictable Work Schedules on Financial Security Pegah Nokhiz Aravinda Kanchana Ruwanpathirana Aditya Bhaskara Suresh Venkatasubramanian 87 1 0 10 Apr 2025
Multi-Bellman operator for convergence of $Q$ -learning with linear function approximation Diogo S. Carvalho D. L. McPherson Francisco S. Melo 60 1 0 28 Sep 2023
Planning and Learning with Adaptive Lookahead Aviv A. Rosenberg Assaf Hallak Shie Mannor Gal Chechik Gal Dalal 83 8 0 28 Jan 2022
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction Assaf Hallak Gal Dalal Steven Dalton I. Frosio Shie Mannor Gal Chechik OffRL OnRL 100 10 0 04 Jul 2021
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs Rohan Chitnis Tom Silver Beomjoon Kim L. Kaelbling Tomas Lozano-Perez 73 27 0 26 Jul 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 123 49 0 30 Jun 2020
A Unifying Framework for Reinforcement Learning and Planning Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 131 9 0 26 Jun 2020