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Game of Go

9 papers with code ยท Playing Games
Subtask of Board Games

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

Multi-step Greedy Policies in Model-Free Deep Reinforcement Learning

ICLR 2020

In this work, we explore the benefits of multi-step greedy policies in model-free RL when employed in the framework of multi-step Dynamic Programming (DP): multi-step Policy and Value Iteration.

CONTINUOUS CONTROL GAME OF GO

MoET: Interpretable and Verifiable Reinforcement Learning via Mixture of Expert Trees

ICLR 2020

We propose MoET, a more expressive, yet still interpretable model based on Mixture of Experts, consisting of a gating function that partitions the state space, and multiple decision tree experts that specialize on different partitions.

GAME OF GO IMITATION LEARNING

Multi-step Greedy Policies in Model-Free Deep Reinforcement Learning

7 Oct 2019

In this work, we explore the benefits of multi-step greedy policies in model-free RL when employed in the framework of multi-step Dynamic Programming (DP): multi-step Policy and Value Iteration.

CONTINUOUS CONTROL GAME OF GO

Playing Go without Game Tree Search Using Convolutional Neural Networks

2 Jul 2019

We introduce three structures and training methods that aim to create a strong Go player: non-rectangular convolutions, which will better learn the shapes on the board, supervised learning, training on a data set of 53, 000 professional games, and reinforcement learning, training on games played between different versions of the network.

GAME OF GO

Designing Game of Theorems

20 Jun 2019

"Theorem proving is similar to the game of Go.

AUTOMATED THEOREM PROVING GAME OF GO

MoET: Interpretable and Verifiable Reinforcement Learning via Mixture of Expert Trees

16 Jun 2019

We propose MoET, a more expressive, yet still interpretable model based on Mixture of Experts, consisting of a gating function that partitions the state space, and multiple decision tree experts that specialize on different partitions.

GAME OF GO IMITATION LEARNING

Generative Adversarial Imagination for Sample Efficient Deep Reinforcement Learning

30 Apr 2019

Reinforcement learning has seen great advancements in the past five years.

GAME OF GO

A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go

22 Jan 2019

This paper applies a genetic algorithm and fuzzy markup language to construct a human and smart machine cooperative learning system on game of Go.

GAME OF GO

Comparing Knowledge-based Reinforcement Learning to Neural Networks in a Strategy Game

15 Jan 2019

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.

GAME OF GO REGRESSION

PFML-based Semantic BCI Agent for Game of Go Learning and Prediction

10 Jan 2019

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.

GAME OF GO