Join us for an exciting deep dive into RLMatrix, a pure C# library revolutionizing Deep Reinforcement Learning (DRL) in the .NET ecosystem. In this session, Adrian Sieradzki, the creator of RLMatrix, will demonstrate how developers can leverage cutting-edge DRL algorithms like Proximal Policy Optimization (PPO) and DQN Rainbow to integrate AI into their projects without needing deep learning expertise. Whether you’re developing console apps or experimenting with game development in Godot, RLMatrix offers flexibility and power for both beginners and experts. Unlock the potential of AI in enterprise and research applications with this groundbreaking .NET library.

⏲️ Chapters:

00:00 Countdown

01:02 Welcome to .NET AI Community Standup

04:00 Introduction

15:36 RLMatrix Examples

49:18 RLMatrix Unity Example

54:45 RLMatrix Toolkit

01:01:59 Wrap

Community Links:

https://learn.microsoft.com/en-us/collections/xgpwso4z1j0y30

https://github.com/asieradzk/RL_Matrix

https://learn.microsoft.com/en-us/shows/ai-show/get-started-with-reinforcement-learning-on-azure-machine-learning

https://github.com/SciSharp/Gym.NET

Featuring: Bruno (@elbruno), Adrian (@adisiera)

#dotnet #AI #ReinforcementLearning #RLMatrix #DeepLearning