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Universal Trading for Order Execution with Oracle Policy Distillation

Universal Trading for Order Execution with Oracle Policy Distillation

28 January 2021
Yuchen Fang
Kan Ren
Weiqing Liu
Dong Zhou
Weinan Zhang
Jiang Bian
Yong Yu
Tie-Yan Liu
    OffRL
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Papers citing "Universal Trading for Order Execution with Oracle Policy Distillation"

26 / 26 papers shown
Title
QuantBench: Benchmarking AI Methods for Quantitative Investment
QuantBench: Benchmarking AI Methods for Quantitative Investment
Saizhuo Wang
Hao Kong
Jiadong Guo
Fengrui Hua
Yiyan Qi
Wanyun Zhou
Jiahao Zheng
Xinyu Wang
Lionel M. Ni
Jian Guo
171
2
0
24 Apr 2025
From Deep Learning to LLMs: A survey of AI in Quantitative Investment
From Deep Learning to LLMs: A survey of AI in Quantitative Investment
Bokai Cao
Saizhuo Wang
Xinyi Lin
Xiaojun Wu
Haohan Zhang
L. Ni
Jian Guo
AIFin
57
0
0
27 Mar 2025
Continuous Control of Diverse Skills in Quadruped Robots Without Complete Expert Datasets
Jiaxin Tu
Xiaoyi Wei
Yueqi Zhang
Taixian Hou
Xiaofei Gao
Zhiyan Dong
Peng Zhai
Lihua Zhang
58
0
0
05 Mar 2025
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
Nikolaos Pippas
Cagatay Turkay
Elliot A. Ludvig
AIFin
92
3
0
20 Aug 2024
Large Investment Model
Large Investment Model
Jian Guo
H. Shum
AIFin
29
0
0
12 Aug 2024
On the Effectiveness of Distillation in Mitigating Backdoors in
  Pre-trained Encoder
On the Effectiveness of Distillation in Mitigating Backdoors in Pre-trained Encoder
Tingxu Han
Shenghan Huang
Ziqi Ding
Weisong Sun
Yebo Feng
...
Hanwei Qian
Cong Wu
Quanjun Zhang
Yang Liu
Zhenyu Chen
28
8
0
06 Mar 2024
Curriculum Learning and Imitation Learning for Model-free Control on
  Financial Time-series
Curriculum Learning and Imitation Learning for Model-free Control on Financial Time-series
Woosung Koh
Insu Choi
Yuntae Jang
Gimin Kang
Woo Chang Kim
28
1
0
22 Nov 2023
Reinforcement Learning with Maskable Stock Representation for Portfolio
  Management in Customizable Stock Pools
Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools
Wentao Zhang
Yilei Zhao
Shuo Sun
Jie Ying
Yonggang Xie
Zitao Song
Xinrun Wang
Bo An
AIFin
OOD
21
5
0
17 Nov 2023
IMM: An Imitative Reinforcement Learning Approach with Predictive
  Representation Learning for Automatic Market Making
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making
Hui Niu
Siyuan Li
Jiahao Zheng
Zhou-Chen Lin
Jian Li
Jian Guo
Bo An
29
4
0
17 Aug 2023
Microstructure-Empowered Stock Factor Extraction and Utilization
Microstructure-Empowered Stock Factor Extraction and Utilization
Xianfeng Jiao
Zizhong Li
Chang Xu
Yang Liu
Weiqing Liu
Jiangze Bian
AIFin
16
2
0
16 Aug 2023
Learning Multi-Agent Intention-Aware Communication for Optimal
  Multi-Order Execution in Finance
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance
Yuchen Fang
Zhen-Yu Tang
Kan Ren
Weiqing Liu
Li Zhao
Jiang Bian
Dongsheng Li
Weinan Zhang
Yong Yu
Tie-Yan Liu
33
7
0
06 Jul 2023
Towards Generalizable Reinforcement Learning for Trade Execution
Towards Generalizable Reinforcement Learning for Trade Execution
Chuheng Zhang
Yitong Duan
Xiaoyu Chen
Jianyu Chen
Jian Li
L. Zhao
OffRL
17
7
0
12 May 2023
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning
  in Financial Markets
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets
Shuo Sun
Molei Qin
Xinrun Wang
Bo An
FaML
OffRL
AIFin
24
4
0
14 Jan 2023
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization
Xiaodong Li
Pangjing Wu
Chenxin Zou
Qing Li
27
3
0
11 Dec 2022
Reinforcement Learning with Automated Auxiliary Loss Search
Reinforcement Learning with Automated Auxiliary Loss Search
Tairan He
Yuge Zhang
Kan Ren
Minghuan Liu
Che Wang
Weinan Zhang
Yuqing Yang
Dongsheng Li
35
16
0
12 Oct 2022
A Modular Framework for Reinforcement Learning Optimal Execution
A Modular Framework for Reinforcement Learning Optimal Execution
Fernando de Meer Pardo
Christoph Auth
F. Dascalu
OffRL
18
0
0
11 Aug 2022
Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement
  Learning For Optimal Execution
Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution
Feiyang Pan
Tongzhe Zhang
Ling Luo
Jia He
Shuoli Liu
11
7
0
22 Jul 2022
Hindsight Learning for MDPs with Exogenous Inputs
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
18
22
0
13 Jul 2022
Bootstrapped Transformer for Offline Reinforcement Learning
Bootstrapped Transformer for Offline Reinforcement Learning
Kerong Wang
Hanye Zhao
Xufang Luo
Kan Ren
Weinan Zhang
Dongsheng Li
OffRL
16
37
0
17 Jun 2022
Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning
  Implementation for High-Freq Stock Trading
Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning Implementation for High-Freq Stock Trading
Zitao Song
Xuyang Jin
Chenliang Li
OffRL
AIFin
23
1
0
13 Jun 2022
Towards Applicable Reinforcement Learning: Improving the Generalization
  and Sample Efficiency with Policy Ensemble
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
Zhengyu Yang
Kan Ren
Xufang Luo
Minghuan Liu
Weiqing Liu
Jiang Bian
Weinan Zhang
Dongsheng Li
33
20
0
19 May 2022
PerfectDou: Dominating DouDizhu with Perfect Information Distillation
PerfectDou: Dominating DouDizhu with Perfect Information Distillation
Yang Guan
Minghuan Liu
Weijun Hong
Weinan Zhang
Fei Fang
Guangjun Zeng
Yue Lin
27
26
0
30 Mar 2022
Data-Free Knowledge Transfer: A Survey
Data-Free Knowledge Transfer: A Survey
Yuang Liu
Wei Zhang
Jun Wang
Jianyong Wang
35
48
0
31 Dec 2021
DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture
  Fleeting Intraday Trading Opportunities
DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities
Shuo Sun
Wanqi Xue
R. Wang
Xu He
Junlei Zhu
Jian Li
Bo An
16
20
0
15 Dec 2021
Reinforcement Learning for Quantitative Trading
Reinforcement Learning for Quantitative Trading
Shuo Sun
R. Wang
Bo An
OffRL
AIFin
18
51
0
28 Sep 2021
Reinforcement Learning with Non-Markovian Rewards
Reinforcement Learning with Non-Markovian Rewards
Maor Gaon
Ronen I. Brafman
OffRL
41
75
0
05 Dec 2019
1