2 citations · 4 across the 6 of their papers we have counts for
Showing cs.AIShow all
3 papers · 1 filter
cs.AI2026
Mastering the Game of Go with Self-play Experience Replay
Jingbin Liu, Xuechun Wang
The game of Go has long served as a benchmark for artificial intelligence, demanding sophisticated strategic reasoning and long-term planning. Previous approaches such as AlphaGo a…
cs.AI2023
Mastering Asymmetrical Multiplayer Game with Multi-Agent Asymmetric-Evolution Reinforcement Learning
Chenglu Sun, Yichi Zhang, Yu Zhang +4
Asymmetrical multiplayer (AMP) game is a popular game genre which involves multiple types of agents competing or collaborating with each other in the game. It is difficult to train…
cs.AI2019★ 1 cited
Reinforcement learning with world model
Jingbin Liu, Xinyang Gu, Shuai Liu
Nowadays, model-free reinforcement learning algorithms have achieved remarkable performance on many decision making and control tasks, but high sample complexity and low sample eff…