Introduction
1.
Online Service
Performance
2.
Strength
3.
Benchmarks
User Guide
4.
Docker Quick Start
5.
Build
6.
Training
6.1.
Pre-Trained Model
6.2.
Configurations
6.3.
Offline Phase
6.4.
Online Phase
7.
mjai
7.1.
Protocol Specification
7.2.
Interface
7.3.
Log Player
8.
Emulator
8.1.
Mortal VS Mortal
8.2.
Mortal VS akochan
8.3.
Mortal VS MjaiLogEngine
Reference Guide
9.
Components of Mortal
10.
Reinforcement Learning
10.1.
Observation and Action Representations
10.2.
Network Structures
10.3.
Environment and Reward Design
10.4.
Training and Inference
11.
libriichi - Mahjong Essentials in Rust
11.1.
libriichi::state
11.2.
libriichi::dataset
11.3.
libriichi::algo
11.4.
libriichi::agent
11.5.
libriichi::arena
11.6.
Executable Targets
12.
Comparison with Other AIs - Engineering-Wise
13.
Failed Attempts
14.
Meta
15.
References
Contributor Guide
16.
How to Contribute
16.1.
As a Data Scientist or Python Developer
16.2.
As a Rust Developer
16.3.
As a Designer or Front-End Developer
16.4.
As a Mahjong Player
16.5.
As a Sponsor
Contributors & Sponsors
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