Rundong Wang

Orcid: 0000-0001-6237-9472

According to our database1, Rundong Wang authored at least 24 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation.
IEEE Trans. Knowl. Data Eng., August, 2023

Reinforcement Learning for Quantitative Trading.
ACM Trans. Intell. Syst. Technol., 2023

Synapse: Leveraging Few-Shot Exemplars for Human-Level Computer Control.
CoRR, 2023

Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning.
CoRR, 2023

Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A decentralized algorithm for the resource allocation in the mobile edge system of the Internet of Vehicles.
Proceedings of the 6th IEEE International Conference on Information Systems and Computer Aided Educatio, 2023

Off-Beat Multi-Agent Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Deep Reinforcement Learning for Quantitative Trading: Challenges and Opportunities.
IEEE Intell. Syst., 2022

Quantitative Stock Investment by Routing Uncertainty-Aware Trading Experts: A Multi-Task Learning Approach.
CoRR, 2022

DeepScalper: A Risk-Aware Deep Reinforcement Learning Framework for Intraday Trading with Micro-level Market Embedding.
CoRR, 2022

Attention over Self-attention: Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation.
CoRR, 2022

DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Defensive Compressive Time Delay Estimation Using Information Bottleneck.
IEEE Signal Process. Lett., 2021

RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Transferable Environment Poisoning: Training-time Attack on Reinforcement Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting.
CoRR, 2020

Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Efficient Multi-agent Communication: An Information Bottleneck Approach.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning Expensive Coordination: An Event-Based Deep RL Approach.
Proceedings of the 8th International Conference on Learning Representations, 2020

Analysis of Kinematic Relationship of Superposition Cooperative Dual-Industrial Robot.
Proceedings of the CIPAE 2020: 2020 International Conference on Computers, 2020

Time-Optimal Trajectory Planning Based on Dynamics for Industrial Robot.
Proceedings of the 5th International Conference on Automation, 2020

2019
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning.
CoRR, 2019


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