Xinrun Wang

Orcid: 0000-0003-3369-219X

According to our database1, Xinrun Wang authored at least 37 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
AgentStudio: A Toolkit for Building General Virtual Agents.
CoRR, 2024

Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study.
CoRR, 2024

A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist.
CoRR, 2024

True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning.
CoRR, 2024

keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM.
CoRR, 2024

Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets.
Trans. Mach. Learn. Res., 2023

Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools.
CoRR, 2023

TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Offline RL with Discrete Proxy Representations for Generalizability in POMDPs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mastering Stock Markets with Efficient Mixture of Diversified Trading Experts.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification.
Proceedings of the International Conference on Machine Learning, 2023

Enhancing Meta Learning via Multi-Objective Soft Improvement Functions.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Population-size-Aware Policy Optimization for Mean-Field Games.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Game-Theoretic Perspective of Generalization in Reinforcement Learning.
CoRR, 2022

Offline Equilibrium Finding.
CoRR, 2022

A Unified Perspective on Deep Equilibrium Finding.
CoRR, 2022

DO-GAN: A Double Oracle Framework for Generative Adversarial Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Neural Regret-Matching for Distributed Constraint Optimization Problems.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Efficient Reservoir Management through Deep Reinforcement Learning.
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

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

User detection of threats with different security measures.
Proceedings of the IEEE International Conference on Human-Machine Systems, 2020

We Mind Your Well-Being: Preventing Depression in Uncertain Social Networks by Sequential Interventions.
Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

2019
Defending on networks: applying game theory to prevent illegal activities in structured security domains
PhD thesis, 2019

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

Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National Cybersecurity.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Choosing Protection: User Investments in Security Measures for Cyber Risk Management.
Proceedings of the Decision and Game Theory for Security - 10th International Conference, 2019

When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games.
Proceedings of the Decision and Game Theory for Security - 10th International Conference, 2019

2018
Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Stop Nuclear Smuggling Through Efficient Container Inspection.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017


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