Unpacking “boardgames with apps”: The hybrid digital boardgame model
Increasingly, modern boardgames incorporate digital apps and tools to deliver content in
novel ways. Despite disparate approaches to incorporating digital tools in otherwise non …
novel ways. Despite disparate approaches to incorporating digital tools in otherwise non …
Enhanced reinforcement learning method combining one-hot encoding-based vectors for CNN-based alternative high-level decisions
B Gu, Y Sung - Applied Sciences, 2021 - mdpi.com
Gomoku is a two-player board game that originated in ancient China. There are various
cases of developing Gomoku using artificial intelligence, such as a genetic algorithm and a …
cases of developing Gomoku using artificial intelligence, such as a genetic algorithm and a …
In what ways do AI techniques propel decision-making amidst volatility? Annotated bibliography perspectives
BN Zambrano Manzur, FA Espinoza Bazán… - Journal of Innovation …, 2024 - Springer
This research presents a systematic review and approximation, from 2018 to 2023, of how
Artificial Intelligence can support decision-making processes when business managers …
Artificial Intelligence can support decision-making processes when business managers …
Enhanced DQN framework for selecting actions and updating replay memory considering massive non-executable actions
B Gu, Y Sung - Applied Sciences, 2021 - mdpi.com
A Deep-Q-Network (DQN) controls a virtual agent as the level of a player using only
screenshots as inputs. Replay memory selects a limited number of experience replays …
screenshots as inputs. Replay memory selects a limited number of experience replays …
Gomokunet: A novel unet-style network for gomoku zero learning via exploiting positional information and multiscale features
Since the tremendous success of the AlphaGo family (AlphaGo, AlphaGo Zero, and Alpha
Zero), zero learning has become the baseline method for many board games, such as …
Zero), zero learning has become the baseline method for many board games, such as …
Behavior imitation of individual board game players
Modeling and predicting player behavior is of the utmost importance in game development
and matchmaking. A variety of methods have been proposed to build artificial intelligence …
and matchmaking. A variety of methods have been proposed to build artificial intelligence …
Ancillary mechanism for autonomous decision-making process in asymmetric confrontation: a view from Gomoku
C Han, X Wang - Journal of Experimental & Theoretical Artificial …, 2023 - Taylor & Francis
This paper investigates how agents learn and perform efficient strategies by trying different
actions in asymmetric confrontation setting. Firstly, we use Gomoku as an example to …
actions in asymmetric confrontation setting. Firstly, we use Gomoku as an example to …
Accelerating Deep Neural Network guided MCTS using Adaptive Parallelism
Deep Neural Network guided Monte-Carlo Tree Search (DNN-MCTS) is a powerful class of
AI algorithms. The DNN operations are highly parallelizable, but tree search operations are …
AI algorithms. The DNN operations are highly parallelizable, but tree search operations are …
[PDF][PDF] Benchmarking deep learning models on Jetson TX2
LP Bordignon, A Von Wangenheim - Technical Report INCoD …, 2019 - researchgate.net
Artificial intelligence has evolved from the last years towards to large diversity of areas, such
as image recognition, audio recognition and data recommendation. To allow these areas to …
as image recognition, audio recognition and data recommendation. To allow these areas to …
Improved CNN Model Using Innovative Adaptive-DropMessage for Gomoku Game
K Cao, X Li, J Wu, H Yuan, W Li, J Li, H Huang… - … on Intelligent Computing, 2024 - Springer
Abstract Convolutional Neural Networks (CNNs) has been used in many Gomoku AI
systems. This paper introduces the innovative Adaptive-Drop Message method within the …
systems. This paper introduces the innovative Adaptive-Drop Message method within the …