Board Games

26 papers with code • 0 benchmarks • 1 datasets

This task has no description! Would you like to contribute one?

Greatest papers with code

RLCard: A Toolkit for Reinforcement Learning in Card Games

datamllab/rlcard 10 Oct 2019

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 reward.

Board Games Game of Poker +1

Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning

Unity-Technologies/obstacle-tower-env 4 Feb 2019

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.

Atari Games Board Games

Deep Learning for General Game Playing with Ludii and Polygames

facebookincubator/Polygames 23 Jan 2021

Combinations of Monte-Carlo tree search and Deep Neural Networks, trained through self-play, have produced state-of-the-art results for automated game-playing in many board games.

Board Games

Move Evaluation in Go Using Deep Convolutional Neural Networks

jmgilmer/GoCNN 20 Dec 2014

The game of Go is more challenging than other board games, due to the difficulty of constructing a position or move evaluation function.

Game of Go

Monte-Carlo Graph Search for AlphaZero

QueensGambit/CrazyAra 20 Dec 2020

The AlphaZero algorithm has been successfully applied in a range of discrete domains, most notably board games.

Board Games

Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data

QueensGambit/CrazyAra 19 Aug 2019

Crazyhouse is a game with a higher branching factor than chess and there is only limited data of lower quality available compared to AlphaGo.

Board Games

Learning to Shoot in First Person Shooter Games by Stabilizing Actions and Clustering Rewards for Reinforcement Learning

lucylow/b00m-h3adsh0t 13 Jun 2018

While reinforcement learning (RL) has been applied to turn-based board games for many years, more complex games involving decision-making in real-time are beginning to receive more attention.

Board Games Decision Making

The Text-Based Adventure AI Competition

Microsoft/nail_agent 3 Aug 2018

In 2016, 2017, and 2018 at the IEEE Conference on Computational Intelligence in Games, the authors of this paper ran a competition for agents that can play classic text-based adventure games.

Board Games Natural Language Understanding

Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning

FuxiRL/FeverBasketball 6 Dec 2020

We introduce the Fever Basketball game, a novel reinforcement learning environment where agents are trained to play basketball game.

Board Games Multi-agent Reinforcement Learning

Design and Implementation of TAG: A Tabletop Games Framework

GAIGResearch/TabletopGames 25 Sep 2020

This document describes the design and implementation of the Tabletop Games framework (TAG), a Java-based benchmark for developing modern board games for AI research.

Board Games