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Found 29 papers, 7 papers with code
Utilizing Generative Adversarial Networks for Stable Structure Generation in Angry Birds
This paper investigates the suitability of using Generative Adversarial Networks (GANs) to generate stable structures for the physics-based puzzle game Angry Birds.
Physics-Based Task Generation through Causal Sequence of Physical Interactions
We believe that the tasks generated using our proposed methodology can facilitate a nuanced evaluation of physical reasoning agents, thus paving the way for the development of agents for more sophisticated real-world applications.
NovPhy: A Testbed for Physical Reasoning in Open-world Environments
But is it enough to only have physical reasoning capabilities to operate in a real physical environment?
Measuring Board Game Distance
This paper presents a general approach for measuring distances between board games within the Ludii general game system.
The Ludii Game Description Language is Universal
There are several different game description languages (GDLs), each intended to allow wide ranges of arbitrary games (i. e., general games) to be described in a single higher-level language than general-purpose programming languages.
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.
General Board Geometry
Game boards are described in the Ludii general game system by their underlying graphs, based on tiling, shape and graph operators, with the automatic detection of important properties such as topological relationships between graph elements, directions and radial step sequences.
Optimised Playout Implementations for the Ludii General Game System
This paper describes three different optimised implementations of playouts, as commonly used by game-playing algorithms such as Monte-Carlo Tree Search.
Automatic Generation of Board Game Manuals
In this paper we present a process for automatically generating manuals for board games within the Ludii general game system.
General Board Game Concepts
Many games often share common ideas or aspects between them, such as their rules, controls, or playing area.
The Difficulty of Novelty Detection in Open-World Physical Domains: An Application to Angry Birds
Therefore, to accurately evaluate the novelty detection capability of AI systems, it is necessary to investigate how difficult it may be to detect different types of novelty.
Deceptive Level Generation for Angry Birds
The Angry Birds AI competition has been held over many years to encourage the development of AI agents that can play Angry Birds game levels better than human players.
General Game Heuristic Prediction Based on Ludeme Descriptions
This paper investigates the performance of different general-game-playing heuristics for games in the Ludii general game system.
Transfer of Fully Convolutional Policy-Value Networks Between Games and Game Variants
In this paper, we use fully convolutional architectures in AlphaZero-like self-play training setups to facilitate transfer between variants of board games as well as distinct games.
Manipulating the Distributions of Experience used for Self-Play Learning in Expert Iteration
ExIt involves training a policy to mimic the search behaviour of a tree search algorithm - such as Monte-Carlo tree search - and using the trained policy to guide it.
Superstition in the Network: Deep Reinforcement Learning Plays Deceptive Games
Deep reinforcement learning has learned to play many games well, but failed on others.
An Overview of the Ludii General Game System
The Digital Ludeme Project (DLP) aims to reconstruct and analyse over 1000 traditional strategy games using modern techniques.
Ludii and XCSP: Playing and Solving Logic Puzzles
Many of the famous single-player games, commonly called puzzles, can be shown to be NP-Complete.
Ludii as a Competition Platform
Ludii is a general game system being developed as part of the ERC-funded Digital Ludeme Project (DLP).
An Empirical Evaluation of Two General Game Systems: Ludii and RBG
Although General Game Playing (GGP) systems can facilitate useful research in Artificial Intelligence (AI) for game-playing, they are often computationally inefficient and somewhat specialised to a specific class of games.
"Did You Hear That?" Learning to Play Video Games from Audio Cues
Game-playing AI research has focused for a long time on learning to play video games from visual input or symbolic information.
Foundations of Digital Archæoludology
Digital Archaeoludology (DAL) is a new field of study involving the analysis and reconstruction of ancient games from incomplete descriptions and archaeological evidence using modern computational techniques.
Using Restart Heuristics to Improve Agent Performance in Angry Birds
Over the past few years the Angry Birds AI competition has been held in an attempt to develop intelligent agents that can successfully and efficiently solve levels for the video game Angry Birds.
Learning Policies from Self-Play with Policy Gradients and MCTS Value Estimates
In recent years, state-of-the-art game-playing agents often involve policies that are trained in self-playing processes where Monte Carlo tree search (MCTS) algorithms and trained policies iteratively improve each other.
Ludii -- The Ludemic General Game System
While current General Game Playing (GGP) systems facilitate useful research in Artificial Intelligence (AI) for game-playing, they are often somewhat specialised and computationally inefficient.
Agent-Based Adaptive Level Generation for Dynamic Difficulty Adjustment in Angry Birds
This paper presents an adaptive level generation algorithm for the physics-based puzzle game Angry Birds.
A Continuous Information Gain Measure to Find the Most Discriminatory Problems for AI Benchmarking
This paper introduces an information-theoretic method for selecting a subset of problems which gives the most information about a group of problem-solving algorithms.
The 2017 AIBIRDS Competition
This paper presents an overview of the sixth AIBIRDS competition, held at the 26th International Joint Conference on Artificial Intelligence.
Deceptive Games
Deceptive games are games where the reward structure or other aspects of the game are designed to lead the agent away from a globally optimal policy.
