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Xiaotian Hao

13 papers · 2020–2024 · 6 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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+5 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver πŸ† Grand Slam
🀝 Dynamic Duo (12) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (59)

Venues

AAAI (4) NeurIPS (3) ICLR (2) ICML (2) IJCAI (1) UAI (1)

Top co-authors

Jianye Hao (12) Weixun Wang (6) YAN ZHENG (6) Yujing Hu (4) Yi Ma (4) Tianpei Yang (4) Changjie Fan (3) Zhenzhe Zheng (2) Yang Gao (2) Zhen Wang (2)

Research topics

Reinforcement Learning (11) Methods (11) Artificial Intelligence (8) Machine Learning (8) Core AI (8) Learning Types (4) Deep Learning (3) Architectures (3) Applications (2) Core Methods (2) Learning Paradigms (2) Optimization & Theory (2) Mathematics & Optimization (1) Optimization (1)

Keywords

multi-agent reinforcement learning (5) deep reinforcement learning (4) reinforcement learning (3) sample efficiency (2) transfer learning (2) multi-agent system (2) hierarchical reinforcement learning (1) heuristic search (1) curriculum learning (1) permutation equivariance (1) monte carlo tree search (1) progressive learning (1) working memory (1) mutual information (1) protein design (1) maximum weight matching (1) model-based reinforcement learning (1) partial observability (1) policy learning (1) bipartite matching (1)

Papers

Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning AAAI 2024 Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search UAI 2024 Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces AAAI 2024 PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning AAAI 2024 Unlock the Intermittent Control Ability of Model Free Reinforcement Learning NeurIPS 2024 Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks ICLR 2023 PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration ICML 2022 Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing NeurIPS 2022 A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems NeurIPS 2021 Action Semantics Network: Considering the Effects of Actions in Multiagent Systems ICLR 2020 Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising ICML 2020 From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning AAAI 2020 Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising IJCAI 2020