69 citations · 95 across the 4 of their papers we have counts for
4 papers
Linear Reinforcement Learning with Ball Structure Action Space
Zeyu Jia, Randy Jia, Dhruv Madeka +1
We study the problem of Reinforcement Learning (RL) with linear function approximation, i.e. assuming the optimal action-value function is linear in a known -dimensional feature…
Model-Based Reinforcement Learning with Value-Targeted Regression
Alex Ayoub, Zeyu Jia, Csaba Szepesvari +2
This paper studies model-based reinforcement learning (RL) for regret minimization. We focus on finite-horizon episodic RL where the transition model belongs to a known family…
Feature-Based Q-Learning for Two-Player Stochastic Games
Zeyu Jia, Lin F. Yang, Mengdi Wang
Consider a two-player zero-sum stochastic game where the transition function can be embedded in a given feature space. We propose a two-player Q-learning algorithm for approximatin…
The Search direction Correction makes first-order methods faster
Yifei Wang, Zeyu Jia, Zaiwen Wen
The so-called fast inertial relaxation engine is a first-order method for unconstrained smooth optimization problems. It updates the search direction by a linear combination of the…