RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems

27 December 2023

Papers citing "RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems"

10 / 10 papers shown

Title
BCRLSP: An Offline Reinforcement Learning Framework for Sequential Targeted Promotion Fanglin Chen Xiao Liu Bo Tang Feiyu Xiong Serim Hwang Guomian Zhuang OffRL 25 1 0 16 Jul 2022
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 131 1,806 0 08 Jun 2020
Training with Quantization Noise for Extreme Model Compression Angela Fan Pierre Stock Benjamin Graham Edouard Grave Remi Gribonval Hervé Jégou Armand Joulin MQ 76 245 0 15 Apr 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 210 1,359 0 15 Apr 2020
IPO: Interior-point Policy Optimization under Constraints Yongshuai Liu J. Ding Xin Liu 64 181 0 21 Oct 2019
Benchmarking Batch Deep Reinforcement Learning Algorithms Shih-Han Chou Wen-Yen Chang W. Hsu Jianlong Fu OffRL 63 184 0 03 Oct 2019
Reward Constrained Policy Optimization Chen Tessler D. Mankowitz Shie Mannor 80 540 0 28 May 2018
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 108 1,321 0 30 May 2017
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,749 0 20 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 156 7,623 0 22 Sep 2015