Xinrun Wang
27 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11)
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Cross-Pollinator
(11)
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Renaissance Researcher
(8)
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Taxonomy Completionist
(28)
π§¬
Topic Evolution
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Triple Crown
π₯
Mega-Team
(28)
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Dynamic Duo
(22)
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Grand Slam
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Unstoppable
(5)
ποΈ
Keyword Collector
(89)
β‘
Prolific Year
(6)
π
Century Club
(25)
Conferences
AAAI (6)
ICLR (6)
IJCAI (6)
ICML (3)
NIPS (3)
ACL (1)
CVPR (1)
EMNLP (1)
Top co-authors
Keywords
multi-agent system
(5)
reinforcement learning
(4)
game theory
(3)
proximal policy optimization
(2)
zero-sum game
(2)
retrieval-augmented generation
(2)
extensive-form game
(2)
nash equilibrium
(2)
stackelberg game
(2)
distributed constraint optimization
(2)
game equilibrium
(2)
generative adversarial network
(2)
tensor decomposition
(1)
time series generation
(1)
domain generalization
(1)
policy learning
(1)
in-context learning
(1)
offline reinforcement learning
(1)
multi-agent reinforcement learning
(1)
partial observability
(1)
Papers
The Avengers: A Routing Recipe for Collective Intelligence in Language Models
AAAI 2026
GDBA Revisited: Unleashing the Power of Guided Local Search for Distributed Constraint Optimization
AAAI 2026
Cradle: Empowering Foundation Agents towards General Computer Control
ICML 2025
FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation
ACL 2025
AgentStudio: A Toolkit for Building General Virtual Agents
ICLR 2025
Efficient Integration of External Knowledge to LLM-based World Models via Retrieval-Augmented Generation and Reinforcement Learning
EMNLP 2025
True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning
ICLR 2024
EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading
AAAI 2024
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context
AAAI 2024
Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games
AAAI 2024
Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution
ICLR 2024
Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control
ICLR 2024
Configurable Mirror Descent: Towards a Unification of Decision Making
ICML 2024
Self-adaptive PSRO: Towards an Automatic Population-based Game Solver
IJCAI 2024
Reinforcement Nash Equilibrium Solver
IJCAI 2024
Enhancing Meta Learning via Multi-Objective Soft Improvement Functions
ICLR 2023
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification
ICML 2023
TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning
NIPS 2023
Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies
AAAI 2023
Offline RL with Discrete Proxy Representations for Generalizability in POMDPs
NIPS 2023
Population-size-Aware Policy Optimization for Mean-Field Games
ICLR 2023
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks
CVPR 2022
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space
IJCAI 2021
Neural Regret-Matching for Distributed Constraint Optimization Problems
IJCAI 2021
Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play
IJCAI 2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
NIPS 2021
Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National Cybersecurity
IJCAI 2019