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Distributional Reinforcement Learning

3 papers across 2 sessions

Poster Session 2

1 paper
Wednesday, December 3, 2025 · 4:30 PM → 7:30 PM
Exhibit Hall C,D,E
A Principled Path to Fitted Distributional Evaluation
#3208 Spotlight · Sungee Hong, Jiayi Wang, Zhengling Qi, Raymond K. W. Wong

Poster Session 6

2 papers
Friday, December 5, 2025 · 4:30 PM → 7:30 PM
Exhibit Hall C,D,E
A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation
#411 · Yang Peng, Kaicheng Jin, Liangyu Zhang, Zhihua Zhang
Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning
#3107 · Yash Jhaveri, Harley Wiltzer, Patrick Shafto, Marc Bellemare, David Meger

We present a theoretical framework for policy convergence in RL, which permits convergence of return distribution estimates.