Gym.NET

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