Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

Reinforcement Learning & Robot Simulation & Embodied Intelligence

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

Open Duck Project's Mujoco playground RL environments

An interactive web-based demonstration of fundamental tabular Reinforcement Learning (RL) algorithms in a simple grid world environment.

RL training visualizer for Mujoco Playground environments + Brax training

This repository is a playground for beginners to learn reinforcement learning. It is a collection of simple environments and agents to get you started with reinforcement learning.

A web-based interactive reinforcement learning demonstration for games.

This repo is for members of the rl-implementation channel on MLC Discord to play with RL algorithms and learn.

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A web app Reinforcement Learning playground to play with different methods and hyperparameters on different tabular RL environments

Implementation and experiments of reinforcement learning algorithms in CS885 @ UW

Training material - An RL playground to test Karpathy's great tutorial on Policy Gradients.

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Simple Implementation of deep reinforcment learning algorithms in Tensorflow 2.x

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A full stack playground to explore RLM with the longbench dataset and view the RLM trajectory from an interface

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My implementation of some RL algorithms

MorphogenRL: An RL playground for training diverse agent morphologies in challenging, procedurally generated worlds. Built on the TeachMyAgent environments.

In this project, I designed a chess game where a Reinforcement Learning (RL) agent faces off against a DistillGPT2 model. Project serves as a playground for various other RL vs LLM implementations for comparative strategic evalutions of both the paradigms

NaVILA-VLA + MuJoCo Go1 Rubble P2P Navigation: Built on DeepMind's mujoco_playground w/ Unitree Go1. Hierarchical NaVILA-VLA + Joystick RL policies achieve xy% success crossing Gaussian rubble → RubbleSim. 50+ seed validation on Gaussian rubble. Architecture robust on research-grade RubbleSim.

Playground for RL boardgame quoridor

play some rl alogrithm

This repo is for playing with reinforcement learning algorithms. I am either using openai gym or ViZDoom as an environment.

Trying out RL algorithms (Q-learning, Deep Q-learning) using Gym

Here I intend to practice and explore the realm of (deep) Reinforcement Learning, focusing primarily on the algorithmic side of things.

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A Docker playground for RL based trading python packages