Bokai Ji

According to our database, Bokai Ji authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

AgentSkiller: Scaling Generalist Agent Intelligence through Semantically Integrated Cross-Domain Data Synthesis.

Zexu Sun, Bokai Ji, Hengyi Cai, Shuaiqiang Wang, Lei Wang, Guangxia Li, Xu Chen

CoRR, February, 2026

2025

Cog-Rethinker: Hierarchical Metacognitive Reinforcement Learning for LLM Reasoning.

Zexu Sun, Yongcheng Zeng, Erxue Min, Heyang Gao, Bokai Ji, Xu Chen

CoRR, October, 2025

CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMs.

Yongcheng Zeng, Zexu Sun, Bokai Ji, Erxue Min, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Haifeng Zhang, Xu Chen, Jun Wang

CoRR, October, 2025

Egocentric Instruction-oriented Affordance Prediction via Large Multimodal Model.

Bokai Ji, Jie Gu, Xiaokang Ma, Chu Tang, Jingmin Chen, Guangxia Li

CoRR, August, 2025

Learning to Explain: Towards Human-Aligned Explainability in Deep Reinforcement Learning via Attention Guidance.

Bokai Ji, Guangxia Li, Yulong Shen, Gang Xiao

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Tackling Non-Stationarity in HVAC Control with TimeGPT-Enhanced Deep Reinforcement Learning.

Jiatong Li, Bokai Ji, Guangxia Li, Peilin Zhao, Liu Liu, Zhigang Ren

Proceedings of the 12th ACM International Conference on Systems for Energy-Efficient Buildings, 2025

Thermal-Delay Aware Deep Reinforcement Learning for HVAC System Control.

Jiatong Li, Bokai Ji, Guangxia Li, Peilin Zhao, Liu Liu, Zhigang Ren

Proceedings of the 12th ACM International Conference on Systems for Energy-Efficient Buildings, 2025

2023

Enhancing the Interpretability of Deep Multi-agent Reinforcement Learning via Neural Logic Reasoning.

Bokai Ji, Guangxia Li, Gang Xiao

Proceedings of the Artificial Neural Networks and Machine Learning, 2023