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Hankz Hankui Zhuo

13 papers · 2013–2025 · 4 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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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (31) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution 🌈 Renaissance Researcher (6) πŸ”₯ Unstoppable Β· Bronze πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (73)

Venues

IJCAI (6) AAAI (4) NeurIPS (2) NAACL (1)

Top co-authors

Subbarao Kambhampati (4) Chao Yu (4) Chen Chen (3) Zifan Wu (3) Kebing Jin (2) Wushao Wen (2) Jianye Hao (2) Jiaran Cai (1) Mingmin Jin (1) Min Tang (1)

Research topics

Artificial Intelligence (8) Core AI (8) Reinforcement Learning (7) Methods (7) Machine Learning (4) Deep Learning (3) Natural Language Processing (2) Applications Β· Natural Language Processing (2) Applications Β· Reinforcement Learning (2) Learning Paradigms (2) Learning Types Β· Machine Learning (2) Learning Types Β· Deep Learning (2) Data Science & Analytics (1) Knowledge & Reasoning (1) Mathematics & Optimization (1)

Keywords

transfer learning (2) deep reinforcement learning (2) model rollout (2) reinforcement learning (2) model-based reinforcement learning (2) multi-step prediction (2) symbolic planning (2) attention mechanism (1) domain generalization (1) multi-agent reinforcement learning (1) causal discovery (1) uncertainty quantification (1) policy gradient (1) question answering (1) text understanding (1) natural language processing (1) machine reading comprehension (1) natural language understanding (1) matrix factorization (1) policy learning (1)

Papers

TCCD: Tree-guided Continuous Causal Discovery via Collaborative MCTS-Parameter Optimization IJCAI 2025 Transformer-based Reinforcement Learning for Net Ordering in Detailed Routing IJCAI 2025 Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract) IJCAI 2023 Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning AAAI 2023 Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning AAAI 2022 Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning NeurIPS 2022 Coordinated Proximal Policy Optimization NeurIPS 2021 Transfer Value Iteration Networks AAAI 2020 Multi-Matching Network for Multiple Choice Reading Comprehension AAAI 2019 Combining Deep Learning and Topic Modeling for Review Understanding in Context-Aware Recommendation NAACL 2018 Extracting Action Sequences from Texts Based on Deep Reinforcement Learning IJCAI 2018 Action-Model Acquisition from Noisy Plan Traces IJCAI 2013 Refining Incomplete Planning Domain Models through Plan Traces IJCAI 2013