API Reference - Models

Regression

Model	Alternate Names	Use Cases
LinearRegression	None	General Price And Time To Level Up Prediction
NormalLinearRegression (Not Recommended)	None	Final Solution Price And Time To Level Up Prediction
SupportVectorRegression (May Need Further Refinement)	SVR	Constrained Price And Time To Level Up Prediction
KNearestNeighboursRegressor	KNN-R	Memory-Based Price And Time To Level Up Prediction

Classification

Model	Alternate Names	Use Cases
KNearestNeighboursClassifier	KNN-C	Item Recommendation, Similar Player Matchmaking
LogisticRegression	Perceptron	Purchase Likelihood Estimation, Player Confidence Prediction
SupportVectorMachine	SVM	Hacking Detection, Anomaly Detection
GaussianNaiveBayes	None	Player Behavior Categorization (e.g. Cautious Vs. Aggressive), Fast State Classification
MultinomialNaiveBayes	None	Inventory Action Prediction, Strategy Profiling Based on Item Usage
BernoulliNaiveBayes	None	Binary Action Prediction (e.g. Jump Or Not), Quick Decision Filters
ComplementNaiveBayes	None	Imbalanced Class Prediction (e.g. Rare Choices, Niche Paths)
NeuralNetwork	Multi-Layer Perceptron	Decision-Making, Player Behaviour Prediction

Clustering

Model	Alternate Names	Use Cases
AffinityPropagation	None	Player Grouping
AgglomerativeHierarchical	None	Enemy Difficulty Generation
DensityBasedSpatialClusteringOfApplicationsWithNoise	DBSCAN	Density Grouping
MeanShift	None	Boss Spawn Location Search Based On Player Locations
ExpectationMaximization	EM	Hacking Detection, Anomaly Detection
KMeans	None	Maximizing Area-of-Effect Abilities, Predictive Target Grouping
KMedoids	None	Player Grouping Based On Player Locations With Leader Identification

Deep Reinforcement Learning

Model	Alternate Names	Use Cases
DeepQLearning	Deep Q Network	Best Self-Learning Player AIs, Best Recommendation Systems
DeepDoubleQLearningV1	Double Deep Q Network (2010)	Best Self-Learning Player AIs, Best Recommendation Systems
DeepDoubleQLearningV2	Double Deep Q Network (2015)	Best Self-Learning Player AIs, Best Recommendation Systems
DeepClippedDoubleQLearning	Clipped Double Deep Q Network	Best Self-Learning Player AIs, Best Recommendation Systems
DeepStateActionRewardStateAction	Deep SARSA	Safe Self-Learning Player AIs, Safe Recommendation Systems
DeepDoubleStateActionRewardStateActionV1	Double Deep SARSA	Safe Self-Learning Player AIs, Safe Recommendation Systems
DeepDoubleStateActionRewardStateActionV2	Double Deep SARSA	Safe Self-Learning Player AIs, Safe Recommendation Systems
DeepExpectedStateActionRewardStateAction	Deep Expected SARSA	Balanced Self-Learning Player AIs, Balanced Recommendation Systems
DeepDoubleExpectedStateActionRewardStateActionV1	Double Deep Expected SARSA	Balanced Self-Learning Player AIs, Balanced Recommendation Systems
DeepDoubleExpectedStateActionRewardStateActionV2	Double Deep Expected SARSA	Balanced Self-Learning Player AIs, Balanced Recommendation Systems
MonteCarloControl (May Need Further Refinement)	None	Online Self-Learning Player AIs
OffPolicyMonteCarloControl	None	Offline Self-Learning Player AIs
REINFORCE	None	Reward-Based Self-Learning Player AIs
VanillaPolicyGradient	VPG	Baseline-Based Self-Learning Player AIs
ActorCritic	AC	Critic-Based Self-Learning Player AIs
AdvantageActorCritic	A2C	Advantage-Based Self-Learning Player AIs
ProximalPolicyOptimization	PPO	Industry-Grade And Research-Grade Self-Learning Player And Vehicle AIs
ProximalPolicyOptimizationClip	PPO-Clip	Industry-Grade And Research-Grade Self-Learning Player And Vehicle AIs
SoftActorCritic	SAC	Self-Learning Vehicle AIs
DeepDeterministicPolicyGradient	DDPG	Self-Learning Vehicle AIs
TwinDelayedDeepDeterministicPolicyGradient	TD3	Self-Learning Vehicle AIs

Generative

Model	Alternate Names	Use Cases
GenerativeAdversarialNetwork	GAN	Building And Image Generation
ConditionalGenerativeAdversarialNetwork	CGAN	Same As GAN, But Can Assign Classes
WassersteinGenerativeAdversarialNetwork	WGAN	Same As GAN, But More Stable
ConditionalWassersteinGenerativeAdversarialNetwork	CWGAN	Combination Of Both CGAN And WGAN

BaseModels

BaseModel

GradientMethodBaseModel

IterativeMethodBaseModel

ReinforcementLearningBaseModel

ReinforcementLearningActorCriticBaseModel