Board Games

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

3 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 60 papers with code (131 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• RLCard: A Toolkit for Reinforcement Learning in Card Games
  10 Oct 2019 9 repositories listed Syntology ran 1 of 5 samples · 4 unverified
  The goal of RLCard is to bridge reinforcement learning and imperfect information games, and push forward the research of reinforcement learning in domains with multiple agents, large state and action space, and sparse…
• Monte-Carlo Graph Search for AlphaZero
  20 Dec 2020 3 repositories listed
  The AlphaZero algorithm has been successfully applied in a range of discrete domains, most notably board games.
• Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data
  19 Aug 2019 3 repositories listed
  Crazyhouse is a game with a higher branching factor than chess and there is only limited data of lower quality available compared to AlphaGo.
• Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning
  4 Feb 2019 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Unlike other benchmarks such as the Arcade Learning Environment, evaluation of agent performance in Obstacle Tower is based on an agent's ability to perform well on unseen instances of the environment.
• Regular Boardgames
  8 Jun 2017 3 repositories listed
  We propose a new General Game Playing (GGP) language called Regular Boardgames (RBG), which is based on the theory of regular languages.
• 4Hammer: a board-game reinforcement learning environment for the hour long time frame
  19 May 2025 2 repositories listed
  Large Language Models (LLMs) have demonstrated strong performance on tasks with short time frames, but struggle with tasks requiring longer durations.
• ZeroSumEval: An Extensible Framework For Scaling LLM Evaluation with Inter-Model Competition
  10 Mar 2025 2 repositories listed
  We introduce ZeroSumEval, a dynamic, competition-based, and evolving evaluation framework for Large Language Models (LLMs) that leverages competitive games.
• Solving Royal Game of Ur Using Reinforcement Learning
  23 Aug 2022 2 repositories listed
  Reinforcement Learning has recently surfaced as a very powerful tool to solve complex problems in the domain of board games, wherein an agent is generally required to learn complex strategies and moves based on its own…
• Split Moves for Monte-Carlo Tree Search
  14 Dec 2021 2 repositories listed
  These decisions can be viewed as separate moves, which is already a common practice in multi-action games for efficiency reasons.
• Planning in Stochastic Environments with a Learned Model
  29 Sep 2021 2 repositories listed
  However, previous instantiations of this approach were limited to the use of deterministic models.
• Scaling Scaling Laws with Board Games
  7 Apr 2021 2 repositories listed Syntology ran 0 of 20 samples · 20 unverified
  The largest experiments in machine learning now require resources far beyond the budget of all but a few institutions.
• Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision
  10 Feb 2021 2 repositories listed
  Using a model of the environment, reinforcement learning agents can plan their future moves and achieve superhuman performance in board games like Chess, Shogi, and Go, while remaining relatively sample-efficient.
• Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution
  23 Dec 2019 2 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 4 pointer-only (licence)
  We show through illustrative examples (Chess, Atari, Go), human studies (Chess), and automated evaluation methods (Chess) that SARFA generates saliency maps that are more interpretable for humans than existing…
• A0C: Alpha Zero in Continuous Action Space
  24 May 2018 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  A core novelty of Alpha Zero is the interleaving of tree search and deep learning, which has proven very successful in board games like Chess, Shogi and Go.
• Monte Carlo Q-learning for General Game Playing
  16 Feb 2018 2 repositories listed
  GGP problems can be solved by reinforcement learning.
• Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments
  17 Jun 2025 1 repository listed
  Deep Reinforcement Learning (DRL) has achieved remarkable success in complex sequential decision-making tasks, such as playing Atari 2600 games and mastering board games.
• Vision Language Models are Biased
  29 May 2025 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  Large language models (LLMs) memorize a vast amount of prior knowledge from the Internet that help them on downstream tasks but also may notoriously sway their outputs towards wrong or biased answers.
• Playing Non-Embedded Card-Based Games with Reinforcement Learning
  7 Apr 2025 1 repository listed
  Developing complex non-embedded agents remains challenging, especially in card-based RTS games with complex features and large state spaces.
• Playing Hex and Counter Wargames using Reinforcement Learning and Recurrent Neural Networks
  19 Feb 2025 1 repository listed
  Hex and Counter Wargames are adversarial two-player simulations of real military conflicts requiring complex strategic decision-making.
• AlphaZero Neural Scaling and Zipf's Law: a Tale of Board Games and Power Laws
  16 Dec 2024 1 repository listed Syntology ran 0 of 8 samples · 8 unverified
  Recent theories suggest that loss power laws arise from Zipf's law, a power law observed in domains like natural language.
• AlphaViT: A Flexible Game-Playing AI for Multiple Games and Variable Board Sizes
  25 Aug 2024 1 repository listed
  Experimental results show that the proposed agents, trained on either individual games or multiple games simultaneously, consistently outperform traditional algorithms such as Minimax and Monte Carlo Tree Search and…
• Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games
  12 Aug 2024 1 repository listed
  Defining and measuring decision-making styles, also known as playstyles, is crucial in gaming, where these styles reflect a broad spectrum of individuality and diversity.
• GAVEL: Generating Games Via Evolution and Language Models
  12 Jul 2024 1 repository listed
  Automatically generating novel and interesting games is a complex task.
• RobocupGym: A challenging continuous control benchmark in Robocup
  3 Jul 2024 1 repository listed
  Our environment enables the creation of high-dimensional continuous control tasks within a robotics football simulation.
• Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model
  14 Jun 2024 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  By learning a pessimistic world model and demonstrating its role in improving policy robustness, our research contributes towards making (model-based) RL more robust.
• Injecting Combinatorial Optimization into MCTS: Application to the Board Game boop
  13 Jun 2024 1 repository listed
  In this field, Monte Carlo Tree Search is a popular algorithm family, aiming to build game trees and explore them efficiently.
• ReZero: Boosting MCTS-based Algorithms by Backward-view and Entire-buffer Reanalyze
  25 Apr 2024 1 repository listed
  Monte Carlo Tree Search (MCTS)-based algorithms, such as MuZero and its derivatives, have achieved widespread success in various decision-making domains.
• Playing Board Games with the Predict Results of Beam Search Algorithm
  23 Apr 2024 1 repository listed
  This paper introduces a novel algorithm for two-player deterministic games with perfect information, which we call PROBS (Predict Results of Beam Search).
• ArchiGuesser -- AI Art Architecture Educational Game
  14 Dec 2023 1 repository listed
  The use of generative AI in education is a controversial topic.
• From Images to Connections: Can DQN with GNNs learn the Strategic Game of Hex?
  22 Nov 2023 1 repository listed
  The gameplay of strategic board games such as chess, Go and Hex is often characterized by combinatorial, relational structures -- capturing distinct interactions and non-local patterns -- and not just images.

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.