Game of Go
Go is an abstract strategy board game for two players, in which the aim is to surround more territory than the opponent. The task is to train an agent to play the game and be superior to other players.
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Latest papers without code
Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning
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Reinforcement learning has seen great advancements in the past five years.
Hyper-Parameter Sweep on AlphaZero General
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Therefore, in this paper, we choose 12 parameters in AlphaZero and evaluate how these parameters contribute to training.
A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go
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This paper applies a genetic algorithm and fuzzy markup language to construct a human and smart machine cooperative learning system on game of Go.
Comparing Knowledge-based Reinforcement Learning to Neural Networks in a Strategy Game
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We compare a novel Knowledge-based Reinforcement Learning (KB-RL) approach with the traditional Neural Network (NN) method in solving a classical task of the Artificial Intelligence (AI) field.
PFML-based Semantic BCI Agent for Game of Go Learning and Prediction
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This paper presents a semantic brain computer interface (BCI) agent with particle swarm optimization (PSO) based on a Fuzzy Markup Language (FML) for Go learning and prediction applications.
Meta-modeling game for deriving theoretical-consistent, micro-structural-based traction-separation laws via deep reinforcement learning
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This paper presents a new meta-modeling framework to employ deep reinforcement learning (DRL) to generate mechanical constitutive models for interfaces.
Pressure Predictions of Turbine Blades with Deep Learning
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Deep learning has been used in many areas, such as feature detections in images and the game of go.
What do we need to build explainable AI systems for the medical domain?
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In this paper we outline some of our research topics in the context of the relatively new area of explainable-AI with a focus on the application in medicine, which is a very special domain.
AUTONOMOUS DRIVING GAME OF GO RECOMMENDATION SYSTEMS SPEECH RECOGNITION
FML-based Dynamic Assessment Agent for Human-Machine Cooperative System on Game of Go
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In this paper, we demonstrate the application of Fuzzy Markup Language (FML) to construct an FML-based Dynamic Assessment Agent (FDAA), and we present an FML-based Human-Machine Cooperative System (FHMCS) for the game of Go.
First-spike based visual categorization using reward-modulated STDP
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In the highest layers, each neuron was assigned to an object category, and it was assumed that the stimulus category was the category of the first neuron to fire.