# Introduction

RLEnv is an open source dotnet library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well a standard set of environments compliant with that API.

### nuget

The project must be a .Net 6 or above project.

{% embed url="<https://www.nuget.org/packages/BaseRLEnv>" %}

### Example

```csharp
    public class MockEnv : BaseEnv<DigitalSpace>
    {
        public MockEnv()
        {
            ActionSpace = new Discrete(3, -1);
            ObservationSpace = new Box(2, 6, new shape(2, 3), np.Float32);
            RewardRange = new(5, 2); // If not set, default value is (inf, -inf)
        }

        public override ndarray? Render(RanderMode randerMode)
            => throw new NotImplementedException();

        public override ResetResult Reset(uint? seed = null, Dictionary<string, dynamic>? options = null)
            => new(ObservationSpace.Sample(), new());

        public override StepResult Step(ndarray action)
            => new(ObservationSpace.Sample(), 10, false, false, new());
    }
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://rlenv.kttw.xyz/introduction.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.