Board Games
42 papers with code • 0 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Board Games
Libraries
Use these libraries to find Board Games models and implementations
Obstacle Tower
Cards Against Humanity
Latest papers with no code
Demand response for residential building heating: Effective Monte Carlo Tree Search control based on physics-informed neural networks
Thus, we study MCTS specifically for building demand response.
Evolutionary Tabletop Game Design: A Case Study in the Risk Game
Evolutionary game design, which combines evolutionary algorithms with automated playtesting, has been used to create novel board games with simple equipment; however, the original approach does not include complex tabletop games with dice, cards, and maps.
AlphaZero Gomoku
In the past few years, AlphaZero's exceptional capability in mastering intricate board games has garnered considerable interest.
Bootstrapping Developmental AIs: From Simple Competences to Intelligent Human-Compatible AIs
The mainstream AIs approaches are the generative and deep learning approaches with large language models (LLMs) and the manually constructed symbolic approach.
Stimulating student engagement with an AI board game tournament
Strong foundations in basic AI techniques are key to understanding more advanced concepts.
Evolutionary Reinforcement Learning: A Survey
This article presents a comprehensive survey of state-of-the-art methods for integrating EC into RL, referred to as evolutionary reinforcement learning (EvoRL).
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
This paper introduces a novel variant of TM learning - Clause Size Constrained TMs (CSC-TMs) - where one can set a soft constraint on the clause size.
Measuring Board Game Distance
This paper presents a general approach for measuring distances between board games within the Ludii general game system.
Generalised agent for solving higher board states of tic tac toe using Reinforcement Learning
The majority of the latest research on how to solve a tic tac toe board state employs strategies such as Genetic Algorithms, Neural Networks, Co-Evolution, and Evolutionary Programming.
Teacher-student curriculum learning for reinforcement learning
With our method, we can improve the sample efficiency and generality of the student compared to tabula-rasa reinforcement learning.
