Domain-Independent Game Abstraction using Word Embedding Techniques
Many games of interest in the real world are often intractably large, thereby necessitating the use of game abstraction to shrink them in size, typically by many magnitudes. Over the last two decades, there have been significant advances in game abstraction; however, the domain-specific nature (usually poker) of much of the prior work prevents those techniques from being easily generalized to other settings without extensively analyzing the game at hand. In this paper, we propose a domain-independent approach to game abstraction, which applies word embedding techniques from the field of natural language processing. Treating each action as a word and gameplay data as a corpus, word vectors...
| Authors | Juho Kim, Tuomas Sandholm |
|---|---|
| Primary category | cs.GT |
| Published | 15 May 2026 |
| Last updated at source | 15 May 2026 |
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