4 citations · 12 across the 15 of their papers we have counts for
24 papers
Game-Agnostic Value Functions through Automatic JSON Feature Extraction
Dien Nguyen, Diego Perez-Liebana
JSON Bag-of-Tokens (JSON-Bag) is a recently proposed method to generically represent game trajectories by tokenizing their JSON descriptions. We introduce JSON-Bag VF, a game-agnos…
JSON-Bag: A generic game trajectory representation
Dien Nguyen, Diego Perez-Liebana, Simon Lucas
We introduce JSON Bag-of-Tokens model (JSON-Bag) as a method to generically represent game trajectories by tokenizing their JSON descriptions and apply Jensen-Shannon distance (JSD…
Seeding for Success: Skill and Stochasticity in Tabletop Games
James Goodman, Diego Perez-Liebana, Simon Lucas
Games often incorporate random elements in the form of dice or shuffled card decks. This randomness is a key contributor to the player experience and the variety of game situations…
From Code to Play: Benchmarking Program Search for Games Using Large Language Models
Manuel Eberhardinger, James Goodman, Alexander Dockhorn +5
Large language models (LLMs) have shown impressive capabilities in generating program code, opening exciting opportunities for applying program synthesis to games. In this work, we…
Strategy Game-Playing with Size-Constrained State Abstraction
Linjie Xu, Diego Perez-Liebana, Alexander Dockhorn
Playing strategy games is a challenging problem for artificial intelligence (AI). One of the major challenges is the large search space due to a diverse set of game components. In…
PyTAG: Tabletop Games for Multi-Agent Reinforcement Learning
Martin Balla, George E. M. Long, James Goodman +2
Modern Tabletop Games present various interesting challenges for Multi-agent Reinforcement Learning. In this paper, we introduce PyTAG, a new framework that supports interacting wi…