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Xinrun Wang

27 papers · 2019–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (34) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team Β· Squad 🀝 Dynamic Duo (23) πŸ† Keyword Champion (2) ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze πŸ—ƒοΈ Keyword Collector (126) 🌈 Renaissance Researcher (6)

Venues

AAAI (6) ICLR (6) IJCAI (6) ICML (3) NeurIPS (3) ACL (1) CVPR (1) EMNLP (1)

Top co-authors

Bo An (23) Shuxin Li (7) Runsheng Yu (5) Longtao Zheng (5) Pengdeng Li (5) Hau Chan (5) Xiao Huang (4) Haochong Xia (4) Wentao Zhang (4) Chang Yang (4)

Research topics

Artificial Intelligence (22) Core AI (21) Machine Learning (13) Reinforcement Learning (11) Methods (10) Learning Types Β· Machine Learning (7) Applications Β· Reinforcement Learning (5) Optimization & Theory (5) Learning Paradigms (3) Computer Science (2) Deep Learning (2) Mathematics & Optimization (2) Application Areas (2) Applications Β· Computer Science (2) Learning Types Β· Deep Learning (2)

Keywords

multi-agent system (6) reinforcement learning (5) extensive-form game (3) game theory (3) multi-agent reinforcement learning (2) zero-sum game (2) proximal policy optimization (2) stackelberg game (2) mean field game (2) retrieval-augmented generation (2) game equilibrium (2) in-context learning (2) nash equilibrium (2) distributed constraint optimization (2) generative adversarial network (2) hyperparameter optimization (1) offline reinforcement learning (1) similarity search (1) reward modeling (1) large-scale optimization (1)

Papers

GDBA Revisited: Unleashing the Power of Guided Local Search for Distributed Constraint Optimization AAAI 2026 The Avengers: A Routing Recipe for Collective Intelligence in Language Models AAAI 2026 AgentStudio: A Toolkit for Building General Virtual Agents ICLR 2025 Cradle: Empowering Foundation Agents towards General Computer Control ICML 2025 Efficient Integration of External Knowledge to LLM-based World Models via Retrieval-Augmented Generation and Reinforcement Learning EMNLP 2025 FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation ACL 2025 Configurable Mirror Descent: Towards a Unification of Decision Making ICML 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 Reinforcement Nash Equilibrium Solver IJCAI 2024 Self-adaptive PSRO: Towards an Automatic Population-based Game Solver IJCAI 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 Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games AAAI 2024 True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning ICLR 2024 Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification ICML 2023 Enhancing Meta Learning via Multi-Objective Soft Improvement Functions ICLR 2023 Offline RL with Discrete Proxy Representations for Generalizability in POMDPs NeurIPS 2023 Population-size-Aware Policy Optimization for Mean-Field Games ICLR 2023 Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies AAAI 2023 TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning NeurIPS 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 RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents NeurIPS 2021 Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play IJCAI 2021 Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National Cybersecurity IJCAI 2019