Board Games
44 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
Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions
This paper proposes the Virtual MCTS (V-MCTS), a variant of MCTS that spends more search time on harder states and less search time on simpler states adaptively.
Exploring Adaptive MCTS with TD Learning in miniXCOM
In recent years, Monte Carlo tree search (MCTS) has achieved widespread adoption within the game community.
A Technique to Create Weaker Abstract Board Game Agents via Reinforcement Learning
These AI agents are created in a number of ways, but one challenge with these agents is that an agent can have superior ability compared to us.
The cost of passing -- using deep learning AIs to expand our understanding of the ancient game of Go
AI engines utilizing deep learning neural networks provide excellent tools for analyzing traditional board games.
Runtime Analysis of Competitive co-Evolutionary Algorithms for Maximin Optimisation of a Bilinear Function
Co-evolutionary algorithms have a wide range of applications, such as in hardware design, evolution of strategies for board games, and patching software bugs.
PGD: A Large-scale Professional Go Dataset for Data-driven Analytics
This paper creates the Professional Go Dataset (PGD), containing 98, 043 games played by 2, 148 professional players from 1950 to 2021.
A 23 MW data centre is all you need
The field of machine learning has achieved striking progress in recent years, witnessing breakthrough results on language modelling, protein folding and nitpickingly fine-grained dog breed classification.
Spatial State-Action Features for General Games
In many board games and other abstract games, patterns have been used as features that can guide automated game-playing agents.
A Novel Approach to Solving Goal-Achieving Problems for Board Games
This paper first proposes a novel RZ-based approach, called the RZ-Based Search (RZS), to solving L&D problems for Go.
Final Adaptation Reinforcement Learning for N-Player Games
Our main contribution is that FARL is a vitally important ingredient to achieve success with the player-centered view in various games.
