40 citations · 64 across the 14 of their papers we have counts for
14 papers
A Local-Pattern Related Look-Up Table
Chung-Chin Shih, Ting Han Wei, Ti-Rong Wu +1
This paper describes a Relevance-Zone pattern table (RZT) that can be used to replace a traditional transposition table. An RZT stores exact game values for patterns that are disco…
A Novel Approach to Solving Goal-Achieving Problems for Board Games
Chung-Chin Shih, Ti-Rong Wu, Ting Han Wei +1
Goal-achieving problems are puzzles that set up a specific situation with a clear objective. An example that is well-studied is the category of life-and-death (L&D) problems for Go…
Optimistic Temporal Difference Learning for 2048
Hung Guei, Lung-Pin Chen, I-Chen Wu
Temporal difference (TD) learning and its variants, such as multistage TD (MS-TD) learning and temporal coherence (TC) learning, have been successfully applied to 2048. These metho…
An Unsupervised Video Game Playstyle Metric via State Discretization
Chiu-Chou Lin, Wei-Chen Chiu, I-Chen Wu
On playing video games, different players usually have their own playstyles. Recently, there have been great improvements for the video game AIs on the playing strength. However, p…
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search
Li-Cheng Lan, Meng-Yu Tsai, Ti-Rong Wu +2
Monte Carlo tree search (MCTS) has achieved state-of-the-art results in many domains such as Go and Atari games when combining with deep neural networks (DNNs). When more simulatio…
Sim-To-Real Transfer for Miniature Autonomous Car Racing
Yeong-Jia Roger Chu, Ting-Han Wei, Jin-Bo Huang +2
Sim-to-real, a term that describes where a model is trained in a simulator then transferred to the real world, is a technique that enables faster deep reinforcement learning (DRL)…