Jian Tao

4 papers · 2024–2025 · 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

AAAI (1) CVPR (1) ICML (1) NAACL (1)

Top co-authors

Jiafei Lyu (4) Kai Yang (3) Xiu Li (3) Chunjiang Ge (1) Zeyuan Liu (1) JIAXIN CHEN (1) Huazhe Xu (1) Xiyao Wang (1) Weihan Shen (1) Xiaolong Zhu (1)

Research topics

Artificial Intelligence (2) Deep Learning (2) Machine Learning (2) Reinforcement Learning (2) Core AI (2) Learning Types · Deep Learning (2) Methods (2) Learning Paradigms (1) Learning Types · Machine Learning (1) Optimization & Theory (1)

Keywords

random network distillation (2) sample efficiency (1) image generation (1) direct preference optimization (1) reinforcement learning from human feedback (1) model-based reinforcement learning (1) novelty detection (1) exploration (1) diffusion model (1) reward model (1) sparse reward (1) cooperative multi-agent (1) intrinsic reward (1) online exploration (1) behavioral diversity (1) state novelty (1) large language model (1) goal achieving (1) goal-directed exploration (1) sample reuse (1)

Papers

Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning AAAI 2025 World Models with Hints of Large Language Models for Goal Achieving NAACL 2025 Exploration and Anti-Exploration with Distributional Random Network Distillation ICML 2024 Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model CVPR 2024