	Zhongqi Miao and Xiangrong Tong. Transfer Learning-based Doubly Robust Debias Learning Recommendation.
	Mingcheng Chen. A Review of Offline Model-based Optimization.
	Zhengbang Zhu. MADiff: Offline Multi-agent Learning with Diffusion Models.
	Jingxiao Chen. Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem.
	Ziyu Wan. Alphazero-like Tree-Search Can Guide Large Language Model Decoding and Training.
	Chengxing Jia, Fuxiang Zhang and Yi-chen Li. Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation.
	Zhilong Zhang, Yihao Sun, Junyin Ye, Tianshuo Liu, Jiaji Zhang, Honglong Tian and Yang Yu. Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation.
	Kairui Hu, Rui Liu and Han Yu. Horizontal Federated Learning For Brain-Computer Interface.

	Naming Liu. Efficient Team Cooperation in Mixed Coorperative-Competitive Game.
	Yongshan Chen. A Deep Q-Network Algorithm with Two-Level Neural Network in Real-Time Strategy Games.
	Chaoran Li. Lifelong Multi-Agent Path Finding in Real-World Scenarios.
	Ruifeng Chen, Xu-Hui Liu, Tian-Shuo Liu, Shengyi Jiang, Feng Xu and Yang Yu. Foresight Distribution Adjustment for Off-policy Reinforcement Learning.
	Lei Yuan, Lihe Li, Ziqian Zhang, Fuxiang Zhang, Cong Guan and Yang Yu. Multi-agent Continual Coordination via Progressive Task Contextualization.
	Jingcheng Pang, Pengyuan Wang, Nan Tang, Kaiyuan Li, Xionghui Chen, Jiacheng Xu, Zongzhang Zhang and Yang Yu. Language Model Self-improvement by Reinforcement Learning Contemplation.
	Mingwei Jin. FedSM: Federated Spectrum Management for 6G Network.
	Xindi Tong and Rosanna Chan. Personalised Head Movement Pattern Detection and Adaptation for Gaze-Based Interaction.

DAI 2023 - Poster Presentations