Kaiyan Zhao | 赵开延

Latent State-Predictive Exploration for Deep Reinforcement Learning

Yiming Wang, Kaiyan Zhao, Borong Zhang, Yan Li, Leong Hou U

AAAI 2026

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Explore to Learn: Latent Exploration through Disentangled Synergy Patterns for RL in Overactuated Control

Yiming Wang, Kaiyan Zhao, Xu Li, Yan Li, Jiayu Chen, Steven Morad, Leong Hou U

AAAI 2026 Oral

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DSAP: Enhancing Generalization in Goal-Conditioned Reinforcement Learning

Yiming Wang, Kaiyan Zhao, Ming Yang, Yan Li, Furui Liu, Jiayu Chen, Leong Hou U

AAAI 2026

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RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation

Xuetao Li, Wenke Huang, Nengyuan Pan, Kaiyan Zhao, Songhua Yang, Yiming Wang... Miao Li

AAAI 2026

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BILE: An Effective Behavior-based Latent Exploration Scheme for Deep Reinforcement Learning

Yiming Wang, Kaiyan Zhao, Yan Li, Leong Hou U

IJCAI 2025

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Efficient Diversity-based Experience Replay for Deep Reinforcement Learning

Kaiyan Zhao^†, Yiming Wang^†, Yuyang Chen, Yan Li, Leong Hou U, Xiaoguang Niu

IJCAI 2025

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HeMoRa: Unsupervised Heuristic Consensus Sampling for Robust Point Cloud Registration

Shaocheng Yan, Yiming Wang, Kaiyan Zhao, Pengcheng S, Zhenjun Z, Yongjun Z, Jiayuan L

CVPR 2025

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Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus

Yiming Wang, Kaiyan Zhao, Furui Liu, Leong Hou U

NeurIPS 2024 Spotlight Top 3%

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Enhancing LLM Agents for Code Generation with Possibility and Pass-rate Prioritized Experience Replay

Yuyang Chen^†, Kaiyan Zhao^†, Yiming Wang, Ming Yang, Jian Zhang, Xiaoguang Niu

Preprint

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AARR-Net: An Attention Assistance Feature Fusion and Model Recursive Recovery Network for Category-level 6D Object Pose Estimation

Haoning Wu, Kaiyan Zhao, Shaowu Wu, Xiaoguang Niu, Xiaoping Wu

ICONIP 2024

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Team-wise Effective Communication in Multi-Agent Reinforcement Learning

Ming Yang, Kaiyan Zhao, Yiming Wang, Renzhi Dong, Yali Du, F Liu, M Zhou, Leong Hou U

AAMAS 2024

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LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics

Tsz Nam Chan, Pak Lon Ip, Kaiyan Zhao, Leong Hou U, Byron Choi, Jianliang Xu

PVLDB 2022, Vol 15, No. 12

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Kaiyan Zhao 赵开延

Latest Updates

Selected Publications

Latent State-Predictive Exploration for Deep Reinforcement Learning

Explore to Learn: Latent Exploration through Disentangled Synergy Patterns for RL in Overactuated Control

DSAP: Enhancing Generalization in Goal-Conditioned Reinforcement Learning

RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation

BILE: An Effective Behavior-based Latent Exploration Scheme for Deep Reinforcement Learning

Efficient Diversity-based Experience Replay for Deep Reinforcement Learning

HeMoRa: Unsupervised Heuristic Consensus Sampling for Robust Point Cloud Registration

Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus

Enhancing LLM Agents for Code Generation with Possibility and Pass-rate Prioritized Experience Replay

AARR-Net: An Attention Assistance Feature Fusion and Model Recursive Recovery Network for Category-level 6D Object Pose Estimation

Team-wise Effective Communication in Multi-Agent Reinforcement Learning

LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics