Haozhe Ma

According to our database, Haozhe Ma authored at least 23 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MacroNav: Multi-Task Context Representation Learning Enables Efficient Navigation in Unknown Environments.

Kuankuan Sima, Longbin Tang, Zhenyu Yang, Haozhe Ma, Lin Zhao

IEEE Robotics Autom. Lett., June, 2026

JEDI: Joint Embedding Diffusion World Model for Online Model-Based Reinforcement Learning.

Jing Yu Lim, Rushi Shah, Zarif Ikram, Samson Yu, Haozhe Ma, Tze-Yun Leong, Dianbo Liu

CoRR, May, 2026

Hierarchical Molecular Representation Learning via Fragment-Based Self-Supervised Embedding Prediction.

Jiele Wu, Haozhe Ma, Zhihan Guo, Thanh Vinh Vo, Tze-Yun Leong

CoRR, February, 2026

A Stabilized Hybrid Active Noise Control Algorithm of GFANC and FxNLMS with Online Clustering.

Zhengding Luo, Haozhe Ma, Boxiang Wang, Ziyi Yang, Dongyuan Shi, Woon-Seng Gan

CoRR, January, 2026

Reinforcement learning-based selective fixed-filter active noise control (RL-SFANC): From theory to real-time headphone implementation.

Zhengding Luo, Haozhe Ma, Boxiang Wang, Dongyuan Shi, Woon-Seng Gan

Signal Process., 2026

2025

Human Motion Estimation with Everyday Wearables.

Siqi Zhu, Yixuan Li, Junfu Li, Qi Wu, Zan Wang, Haozhe Ma, Wei Liang

CoRR, December, 2025

MacroNav: Multi-Task Context Representation Learning Enables Efficient Navigation in Unknown Environments.

Kuankuan Sima, Longbin Tang, Haozhe Ma, Lin Zhao

CoRR, November, 2025

Exploration by Random Reward Perturbation.

Haozhe Ma, Guoji Fu, Zhengding Luo, Jiele Wu, Tze-Yun Leong

CoRR, June, 2025

Causal Policy Learning in Reinforcement Learning: Backdoor-Adjusted Soft Actor-Critic.

Thanh Vinh Vo, Young Lee, Haozhe Ma, Chien Lu, Tze-Yun Leong

CoRR, June, 2025

JEDI: Latent End-to-end Diffusion Mitigates Agent-Human Performance Asymmetry in Model-Based Reinforcement Learning.

Jing Yu Lim, Zarif Ikram, Samson Yu, Haozhe Ma, Tze-Yun Leong, Dianbo Liu

CoRR, May, 2025

Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning.

Haozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

From Notation to Gesture: Virtual Conductor Gesture Generation in VR Via Structured Score Semantics.

Haozhe Ma, Yuxin Shen, Wei Liang, Yunde Jia

Proceedings of the International Symposium on Mixed and Augmented Reality, 2025

Catching Two Birds with One Stone: Reward Shaping with Dual Random Networks for Balancing Exploration and Exploitation.

Haozhe Ma, Fangling Li, Jing Yu Lim, Zhengding Luo, Thanh Vinh Vo, Tze-Yun Leong

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning.

Haozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

HasRL Robot: A Heterogeneous Asynchronous Reinforcement Learning System for High-Dimensional Bipedal Control.

Jingyang Mai, Zechen Guo, Zhengding Luo, Haozhe Ma

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

Reinforcement Learning in Portfolio Management: A Survey of Methods and Trends.

Silan Hu, Yulin Huang, Arjun Agarwal, Tanya Warrier, Yuwen Wang, Haozhe Ma, Zhengding Luo

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

2024

GFANC-RL: Reinforcement Learning-based Generative Fixed-filter Active Noise Control.

Zhengding Luo, Haozhe Ma, Dongyuan Shi, Woon-Seng Gan

Neural Networks, 2024

Knowledge Sharing and Transfer via Centralized Reward Agent for Multi-Task Reinforcement Learning.

Haozhe Ma, Zhengding Luo, Thanh Vinh Vo, Kuankuan Sima, Tze-Yun Leong

CoRR, 2024

Reward Shaping for Reinforcement Learning with An Assistant Reward Agent.

Haozhe Ma, Kuankuan Sima, Thanh Vinh Vo, Di Fu, Tze-Yun Leong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Decoupled Prompt-Adapter Tuning for Continual Activity Recognition.

Di Fu, Thanh Vinh Vo, Haozhe Ma, Tze-Yun Leong

Proceedings of the Conference on Lifelong Learning Agents, 2024

Mixed-Initiative Bayesian Sub-Goal Optimization in Hierarchical Reinforcement Learning.

Haozhe Ma, Thanh Vinh Vo, Tze-Yun Leong

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Hierarchical Reinforcement Learning with Human-AI Collaborative Sub-Goals Optimization.

Haozhe Ma, Thanh Vinh Vo, Tze-Yun Leong

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2021

Day-lily Robot Bottom Control System Based on Cloud Platform.

Shuyi Wei, Haozhe Ma, Xiuxia Zhang

Proceedings of the ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems, Chongqing, China, May 28, 2021