Sustainable Online Reinforcement Learning for Auto-bidding

13 October 2022

Papers citing "Sustainable Online Reinforcement Learning for Auto-bidding"

31 / 31 papers shown

Title
Generative Auto-Bidding with Value-Guided Explorations Jingtong Gao Yewen Li Shuai Mao Peng Jiang Nan Jiang ... Fei Pan Peng Jiang Kun Gai Bo An Xiangyu Zhao OffRL 107 0 0 20 Apr 2025
A Workflow for Offline Model-Free Robotic Reinforcement Learning Aviral Kumar Anika Singh Stephen Tian Chelsea Finn Sergey Levine OffRL 181 86 0 22 Sep 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble Seunghyun Lee Younggyo Seo Kimin Lee Pieter Abbeel Jinwoo Shin OffRL OnRL 45 187 0 01 Jul 2021
Offline RL Without Off-Policy Evaluation David Brandfonbrener William F. Whitney Rajesh Ranganath Joan Bruna OffRL 65 167 0 16 Jun 2021
Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search Ziyu Guan Hongchang Wu Qingyu Cao Hao Liu Wei Zhao Sheng Li Cai Xu Guang Qiu Jian Xu Bo Zheng 32 16 0 08 Jun 2021
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising Xiangyu Liu Chuan Yu Zhilin Zhang Zhenzhe Zheng Yu Rong ... Dagui Chen Jian Xu Fan Wu Guihai Chen Xiaoqiang Zhu 32 64 0 07 Jun 2021
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning Xianyuan Zhan Haoran Xu Yueying Zhang Xiangyu Zhu Honglei Yin Yu Zheng OffRL AI4CE 80 68 0 23 Feb 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning Rongjun Qin Songyi Gao Xingyuan Zhang Zhen Xu Shengkai Huang Zewen Li Weinan Zhang Yang Yu OffRL 177 81 0 01 Feb 2021
Inverse Constrained Reinforcement Learning Usman Anwar Shehryar Malik Alireza Aghasi Ali Ahmed 51 59 0 19 Nov 2020
Conservative Safety Critics for Exploration Homanga Bharadhwaj Aviral Kumar Nicholas Rhinehart Sergey Levine Florian Shkurti Animesh Garg OffRL 74 139 0 27 Oct 2020
COLD: Towards the Next Generation of Pre-Ranking System Zhe Wang Liqin Zhao Biye Jiang Guorui Zhou Xiaoqiang Zhu Kun Gai 24 55 0 31 Jul 2020
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising Xiaotian Hao Zhaoqing Peng Yi-An Ma Guanlong Wang Junqi Jin ... Zhenzhe Zheng Chuan Yu Han Li Jian Xu Kun Gai 24 26 0 29 Jun 2020
Critic Regularized Regression Ziyun Wang Alexander Novikov Konrad Zolna Jost Tobias Springenberg Scott E. Reed ... Noah Y. Siegel J. Merel Çağlar Gülçehre N. Heess Nando de Freitas OffRL 126 320 0 26 Jun 2020
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets Ashvin Nair Abhishek Gupta Murtaza Dalal Sergey Levine OffRL OnRL 77 601 0 16 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 104 1,780 0 08 Jun 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 477 1,994 0 04 May 2020
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning Noah Y. Siegel Jost Tobias Springenberg Felix Berkenkamp A. Abdolmaleki Michael Neunert Thomas Lampe Roland Hafner Nicolas Heess Martin Riedmiller OffRL 54 283 0 19 Feb 2020
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning Cameron Voloshin Hoang Minh Le Nan Jiang Yisong Yue OffRL 43 154 0 15 Nov 2019
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning Xue Bin Peng Aviral Kumar Grace Zhang Sergey Levine OffRL 113 548 0 01 Oct 2019
Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning D. Scobee S. Shankar Sastry 18 64 0 12 Sep 2019
Sim2real transfer learning for 3D human pose estimation: motion to the rescue Carl Doersch Andrew Zisserman 3DH 31 155 0 04 Jul 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction Aviral Kumar Justin Fu George Tucker Sergey Levine OffRL OnRL 79 1,044 0 03 Jun 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 157 1,586 0 07 Dec 2018
Learning-based Model Predictive Control for Safe Exploration Torsten Koller Felix Berkenkamp M. Turchetta Andreas Krause 43 376 0 22 Mar 2018
Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising Di Wu Xiujun Chen Xun Yang Hao Wang Qing Tan Xiaoxun Zhang Jian Xu Kun Gai 27 127 0 23 Feb 2018
Safe Exploration in Continuous Action Spaces Gal Dalal Krishnamurthy Dvijotham Matej Vecerík Todd Hester Cosmin Paduraru Yuval Tassa 41 438 0 26 Jan 2018
Safe Policy Improvement with Baseline Bootstrapping Romain Laroche P. Trichelair Rémi Tachet des Combes OffRL 48 198 0 19 Dec 2017
Safe Model-based Reinforcement Learning with Stability Guarantees Felix Berkenkamp M. Turchetta Angela P. Schoellig Andreas Krause 129 845 0 23 May 2017
Real-Time Bidding by Reinforcement Learning in Display Advertising Han Cai Kan Ren Weinan Zhang Kleanthis Malialis Jun Wang Yong Yu Defeng Guo 31 246 0 10 Jan 2017
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes M. Turchetta Felix Berkenkamp Andreas Krause 61 186 0 15 Jun 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 207 13,174 0 09 Sep 2015