Day-lily Robot Bottom Control System Based on Cloud Platform. - Shuyi Wei; Haozhe Ma; Xiuxia Zhang (ICAIIS, 2021)

Hierarchical Reinforcement Learning with Human-AI Collaborative Sub-Goals Optimization. - Haozhe Ma; Thanh Vinh Vo; Tze-Yun Leong (AAMAS, 2023)

Mixed-Initiative Bayesian Sub-Goal Optimization in Hierarchical Reinforcement Learning. - Haozhe Ma; Thanh Vinh Vo; Tze-Yun Leong (AAMAS, 2024)

Decoupled Prompt-Adapter Tuning for Continual Activity Recognition. - Di Fu; Thanh Vinh Vo; Haozhe Ma; Tze-Yun Leong (CoLLAs, 2024)

Reward Shaping for Reinforcement Learning with An Assistant Reward Agent. - Haozhe Ma; Kuankuan Sima; Thanh Vinh Vo; Di Fu; Tze-Yun Leong (ICML, 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)

GFANC-RL: Reinforcement Learning-based Generative Fixed-filter Active Noise Control. - Zhengding Luo; Haozhe Ma; Dongyuan Shi; Woon-Seng Gan (Neural Networks, 2024)

Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning. - Haozhe Ma; Zhengding Luo; Thanh Vinh Vo; Kuankuan Sima; Tze-Yun Leong (ICLR, 2025)

JEDI: Latent End-to-end Diffusion Mitigates Agent-Human Performance Asymmetry in Model-Based Reinforcement Learning. - Jing Yu Lim; Zarif Ikram; Samson Yu 001; Haozhe Ma; Tze-Yun Leong; Dianbo Liu (CoRR, 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, 2025)

Exploration by Random Reward Perturbation. - Haozhe Ma; Guoji Fu; Zhengding Luo; Jiele Wu; Tze-Yun Leong (CoRR, 2025)