Chenxiao Gao

According to our database, Chenxiao Gao authored at least 14 papers between 2024 and 2026.

Collaborative distances:

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

2026

FlowRL: A Taxonomy and Modular Framework for Reinforcement Learning with Diffusion Policies.

Chenxiao Gao, Edward Chen, Tianyi Chen, Bo Dai

CoRR, March, 2026

SiMPO: Measure Matching for Online Diffusion Reinforcement Learning.

Haitong Ma, Chenxiao Gao, Tianyi Chen, Na Li, Bo Dai

CoRR, March, 2026

2025

Spectral Representation-based Reinforcement Learning.

Chenxiao Gao, Haotian Sun, Na Li, Dale Schuurmans, Bo Dai

CoRR, December, 2025

Accelerating convergence of randomized extended Kaczmarz methods with double-space residuals.

Chen-Xiao Gao, Fang Chen

J. Appl. Math. Comput., 2025

Reward Models in Deep Reinforcement Learning: A Survey.

Rui Yu, Shenghua Wan, Yucen Wang, Chen-Xiao Gao, Le Gan, Zongzhang Zhang, De-Chuan Zhan

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

Reinforced In-Context Black-Box Optimization.

Lei Song, Chen-Xiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian

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

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning.

Chen-Xiao Gao, Chenyang Wu, Mingjun Cao, Chenjun Xiao, Yang Yu, Zongzhang Zhang

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

2024

Hindsight Preference Learning for Offline Preference-based Reinforcement Learning.

Chen-Xiao Gao, Shengjun Fang, Chenjun Xiao, Yang Yu, Zongzhang Zhang

CoRR, 2024

Diffusion Spectral Representation for Reinforcement Learning.

Dmitry Shribak, Chen-Xiao Gao, Yitong Li, Chenjun Xiao, Bo Dai

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization.

Rui Kong, Chenyang Wu, Chen-Xiao Gao, Zongzhang Zhang, Ming Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning.

Chengxing Jia, Chenxiao Gao, Hao Yin, Fuxiang Zhang, Xiong-Hui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Zhi-Hua Zhou, Yang Yu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation.

Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu

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

Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations.

Renzhe Zhou, Chenxiao Gao, Zongzhang Zhang, Yang Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning.

Chenxiao Gao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024