Jiamin He

PhD student, University of Alberta

Student Researcher, Google DeepMind

Joined

May 2021

Names

Jiamin He (Preferred)

Emails

****@gmail.com (Confirmed)

****@mail3.sysu.edu.cn (Confirmed)

****@ualberta.ca (Confirmed)

****@google.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

University of Alberta (ualberta.ca)

2024 – Present

Student Researcher

Google DeepMind (google.com)

2025 – 2026

MS student

University of Alberta (ualberta.ca)

2021 – 2023

Undergrad student

Sun Yat-sen University (sysu.edu.cn)

2016 – 2020

Advisors, Relations & Conflicts

PhD Advisor

Martha White

Present

Coauthor

A. Rupam Mahmood

Present

Expertise

Reinforcement Learning

Present

Publications

Distributions as Actions: A Unified Framework for Diverse Action Spaces
Jiamin He, A. Rupam Mahmood, Martha White
- ICLR 2026 Poster
- Readers: Everyone
Extending Differential Temporal Difference Methods to Episodic Problems
Kris De Asis, Mohamed Elsayed, Jiamin He
- Submitted to ICLR 2026
- Readers: Everyone
Revisiting Mixture Policies in Entropy-Regularized Actor-Critic
Jiamin He, Samuel Neumann, Jincheng Mei, Adam White, Martha White
- Submitted to ICLR 2026
- Readers: Everyone
Revisiting Mixture Policies in Entropy-Regularized Actor-Critic
Jiamin He, Samuel Neumann, Jincheng Mei, Adam White, Martha White
- ARLET
- Readers: Everyone
Improving Reward-Based Hindsight Credit Assignment
Aditya A. Ramesh, Jiamin He, Jürgen Schmidhuber, Martha White
- EWRL 2025 Poster
- Readers: Everyone
Distribution Parameter Actor-Critic: Shifting the Agent-Environment Boundary for Diverse Action Spaces
Jiamin He, A. Rupam Mahmood, Martha White
- Finding the Frame (RLC 2025)
- Readers: Everyone
Investigating the Utility of Mirror Descent in Off-policy Actor-Critic
Samuel Neumann, Jiamin He, Adam White, Martha White
- RLC 2025
- Readers: Everyone
Investigating Mixture Policies in Entropy-Regularized Actor-Critic
Jiamin He, Samuel Neumann, Adam White, Martha White
- Submitted to ICLR 2025
- Readers: Everyone
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers
Gautham Vasan, Mohamed Elsayed, Seyed Alireza Azimi, Jiamin He, Fahim Shahriar, Colin Bellinger, Martha White, A. Rupam Mahmood
- NeurIPS 2024 poster
- Readers: Everyone
Loosely Consistent Emphatic Temporal-Difference Learning
Jiamin He, Fengdi Che, Yi Wan, A. Rupam Mahmood
- Published: 08 May 2023, Last Modified: 26 Jun 2023
- UAI 2023
- Readers: Everyone

View all 13 publications

Jiamin He

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors