27 Open source projects that are alternatives of or similar to gym_example

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Walkthroughs for DSL, AirSim, the Vector Institute, and more

An introductory tutorial about leveraging Ray core features for distributed patterns.

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Modin: Speed up your Pandas workflows by changing a single line of code

Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem

GPU Raytracer from scratch in C++/CUDA

Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.

A toolkit to run Ray applications on Kubernetes

TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.

A framework for easy prototyping of distributed reinforcement learning algorithms

Buggregator is a beautiful, lightweight debug server build on Laravel that helps you catch your smpt, sentry, var-dump, monolog, ray outputs. It runs without installation on multiple platforms.

A parallel framework for population-based multi-agent reinforcement learning.

Plane, 2D and 3D Ray objects for openFrameworks.It checks for the intersection of a ray with a segment, a sphere, a triangle, a plane, an ofPrimitive, an ofPolyline an with an ofMesh.

Debug your NodeJS & web code with Ray to fix problems faster

Scalable Implementation of Neural Fictitous Self-Play

This projects aims to use reinforcement learning algorithms to play the game 2048.

A graphical interface for reinforcement learning and gym-based environments. Integrates tensorboard and various configuration utilities for ease of usage.

A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.

A collection of multi-agent reinforcement learning OpenAI gym environments

RL agent to play μRTS with Stable-Baselines3 and PyTorch

A Gym-like environment for Reinforcement Learning in Rocket League

An environment for an obstacle avoidance task

OpenAI Gym Environment API based Bitcoin trading environment

a unified environment for supervised learning and reinforcement learning in the context of quantitative trading

A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)