3 papers
cs.AI2026
Bitboard version of Tetris AI
Xingguo Chen, Pingshou Xiong, Zhenyu Luo +6
The efficiency of game engines and policy optimization algorithms is crucial for training reinforcement learning (RL) agents in complex sequential decision-making tasks, such as Te…
cs.LG2025
Bellman Error Centering
Xingguo Chen, Yu Gong, Shangdong Yang +1
This paper revisits the recently proposed reward centering algorithms including simple reward centering (SRC) and value-based reward centering (VRC), and points out that SRC is ind…
cs.LG2024
A Variance Minimization Approach to Temporal-Difference Learning
Xingguo Chen, Yu Gong, Shangdong Yang +1
Fast-converging algorithms are a contemporary requirement in reinforcement learning. In the context of linear function approximation, the magnitude of the smallest eigenvalue of th…