Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to content

openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#.

License

Notifications You must be signed in to change notification settings

SciSharp/Gym.NET

Repository files navigation

Gym.NET

NuGet

A port of openai/gym to C#.

openai/gym

OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms. This is the gym open-source library, which gives you access to a standardized set of environments.

Installation

### For gym's abstract classes for RL, install:
PM> Install-Package Gym.NET

### For implemented environments, install:
PM> Install-Package Gym.NET.Environments
PM> Install-Package Gym.NET.Rendering.Avalonia
PM> Install-Package Gym.NET.Rendering.WinForm

Example

The following example runs and renders cartpole-v1 environment.

using NumSharp;
using SixLabors.ImageSharp;
using Gym.Environments;
using Gym.Environments.Envs.Classic;
using Gym.Rendering.WinForm;

CartPoleEnv cp = new CartPoleEnv(WinFormEnvViewer.Factory); //or AvaloniaEnvViewer.Factory
bool done = true;
for (int i = 0; i < 100_000; i++)
{
    if (done)
    {
        NDArray observation = cp.Reset();
        done = false;
    }
    else
    {
        var (observation, reward, _done, information) = cp.Step((i % 2)); //we switch between moving left and right
        done = _done;
        //do something with the reward and observation.
    }

    SixLabors.ImageSharp.Image img = cp.Render(); //returns the image that was rendered.
    Thread.Sleep(15); //this is to prevent it from finishing instantly !
}

cp.Close();

Roadmap

  • Implement Spaces

    • Space (base class)
    • Box
    • Discrete
    • multi.*.py
  • Implement Env base classes

    • Env(object)
    • GoalEnv(Env)
  • Implement environments
    To run an environment, see Gym.Tests

    • Convert Gym.Environments to a net-standard project.
    • classics
      • CartPole-v1
        • Compare visually against python's version
      • walker2d_v3
      • acrobot
      • continuous_mountain_car
      • mountain_car
      • pendulum
      • rendering
    • Mujco
      • ant_v3
      • half_cheetah_v3
      • hopper_v3
      • humanoid_v3
      • humanoidstandup
      • inverted_double_pendulum
      • inverted_pendulum
      • mujoco_env
      • pusher
      • reacher
      • striker
      • swimmer_v3
      • thrower
    • box2d
      • bipedal_walker
      • car_dynamics
      • car_racing
      • lunar_lander
    • atari

About

openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages