He, Jiamin

5 publications

NeurIPS 2024 Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers Gautham Vasan, Mohamed Elsayed, Alireza Azimi, Jiamin He, Fahim Shariar, Colin Bellinger, Martha White, A. Rupam Mahmood

UAI 2023 Loosely Consistent Emphatic Temporal-Difference Learning Jiamin He, Fengdi Che, Yi Wan, A. Rupam Mahmood

NeurIPSW 2022 The Emphatic Approach to Average-Reward Policy Evaluation Jiamin He, Yi Wan, A. Rupam Mahmood

NeurIPSW 2022 The Emphatic Approach to Average-Reward Policy Evaluation Jiamin He, Yi Wan, A. Rupam Mahmood

NeurIPS 2021 Episodic Multi-Agent Reinforcement Learning with Curiosity-Driven Exploration Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang