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Jiechuan Jiang

13 papers · 2018–2025 · 5 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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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (22) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (13) πŸ† Grand Slam πŸ‘₯ Mega-Team Β· Squad πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (61) πŸ”₯ Unstoppable Β· Bronze

Venues

NeurIPS (7) AAAI (2) ICML (2) ICLR (1) UAI (1)

Top co-authors

Zongqing Lu (13) Bohan Zhou (2) XiaoPeng Yu (2) Bo An (1) Yewen Li (1) Molei Qin (1) Haobin Jiang (1) Weihao Tan (1) Xinrun Wang (1) Tianhao Wu (1)

Research topics

Reinforcement Learning (11) Methods (11) Artificial Intelligence (9) Core AI (9) Machine Learning (7) Learning Types Β· Machine Learning (6) Deep Learning (3) Computer Science (2) Applications Β· Reinforcement Learning (2) Applications Β· Computer Science (1) Architectures (1) Core Methods (1) Foundations (1) Learning Types Β· Deep Learning (1) Models (1)

Keywords

multi-agent reinforcement learning (6) multi-agent system (5) reinforcement learning (4) decentralized learning (3) offline reinforcement learning (3) multi-agent cooperation (2) intrinsic reward (2) opponent modeling (2) game theory (1) exploration-exploitation tradeoff (1) policy optimization (1) multi-agent learning (1) model-based reinforcement learning (1) value estimation (1) hierarchical reinforcement learning (1) policy adaptation (1) deep learning (1) meta-reinforcement learning (1) generative model (1) visual reinforcement learning (1)

Papers

Best Possible Q-Learning UAI 2025 Cradle: Empowering Foundation Agents towards General Computer Control ICML 2025 Opponent Modeling based on Subgoal Inference NeurIPS 2024 Learning from Visual Observation via Offline Pretrained State-to-Go Transformer NeurIPS 2023 Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning AAAI 2023 I2Q: A Fully Decentralized Q-Learning Algorithm NeurIPS 2022 Model-Based Opponent Modeling NeurIPS 2022 Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning NeurIPS 2022 The Emergence of Individuality ICML 2021 Generative Exploration and Exploitation AAAI 2020 Graph Convolutional Reinforcement Learning ICLR 2020 Learning Fairness in Multi-Agent Systems NeurIPS 2019 Learning Attentional Communication for Multi-Agent Cooperation NeurIPS 2018