Xin-Qiang Cai

According to our database, Xin-Qiang Cai authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

Reinforcement Learning from Bagged Reward: A Transformer-based Approach for Instance-Level Reward Redistribution.

Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama

CoRR, 2024

Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding.

Kaiyan Zhao, Qiyu Wu, Xin-Qiang Cai, Yoshimasa Tsuruoka

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Imitation Learning from Vague Feedback.

Xin-Qiang Cai, Yu-Jie Zhang, Chao-Kai Chiang, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distributional Pareto-Optimal Multi-Objective Reinforcement Learning.

Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley Llorens

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning.

Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Anomaly Guided Policy Learning from Imperfect Demonstrations.

Zi-Xuan Chen, Xin-Qiang Cai, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations.

Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou

CoRR, 2021

Imitation Learning from Pixel-Level Demonstrations by HashReward.

Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2019

Expert-Level Atari Imitation Learning from Demonstrations Only.

Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou

CoRR, 2019

Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes.

Xin-Qiang Cai, Peng Zhao, Kai-Ming Ting, Xin Mu, Yuan Jiang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019