Class REINFORCEOptions<T>

Namespace

AiDotNet.Models.Options

Assembly

AiDotNet.dll

Configuration options for REINFORCE agents.

public class REINFORCEOptions<T>

Type Parameters

T

The numeric type used for calculations.

Inheritance

object

REINFORCEOptions<T>

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Remarks

REINFORCE is the simplest policy gradient algorithm. It directly optimizes the policy by following the gradient of expected returns.

For Beginners: REINFORCE is the "hello world" of policy gradient methods. It's simple but powerful: - Play an entire episode - See which actions led to good rewards - Make those actions more likely in the future

Think of it like learning to play a game: you play a round, see your score, then adjust your strategy to do better next time.

Simple, but can be slow to learn and high variance. Modern algorithms like PPO improve on REINFORCE's ideas.

Constructors

REINFORCEOptions()

public REINFORCEOptions()

Properties

ActionSize

public int ActionSize { get; set; }

Property Value

int

DiscountFactor

public T DiscountFactor { get; set; }

Property Value

T

HiddenLayers

public List<int> HiddenLayers { get; set; }

Property Value

List<int>

IsContinuous

public bool IsContinuous { get; set; }

Property Value

bool

LearningRate

public T LearningRate { get; set; }

Property Value

T

Seed

public int? Seed { get; set; }

Property Value

int?

StateSize

public int StateSize { get; set; }

Property Value

int