202 Open source projects that are alternatives of or similar to gym-hybrid

Modelica models integration with Open AI Gym

Repository containing Robot Servers ROS packages

A simple, continuous-control environment for OpenAI Gym

Gym environments and agents for autonomous driving.

OpenAI Gym wrapper for ViZDoom enviroments

Simultaneous Navigation and Construction

Pytorch Implementation of RL algorithms

Full-fledged WebView as Xamarin.Forms plugin with cross-platform C# to JavaScript and JavaScript to C# calls support. Eventually invented for painless hybrid apps creation.

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

Deep Reinforcement Learning for Robotic Grasping from Octrees

Convert DeepMind Control Suite to OpenAI gym environments.

Reinforcement Learning for Super Mario Bros using A3C on GPU

python prototype for hybrid consensus

NEAT for Reinforcement Learning on the OpenAI Gym

No description or website provided.

这是一个基于 apicloud 技术开发的小说阅读app

Robotic simulation in Unity with ROS integration.

Tetra3D is a 3D hybrid software/hardware renderer made for games written in Go with Ebitengine.

No description or website provided.

Simulator for Reinforcement Learning and AI. 2D environments with physics and interactive entities. Agents with rich sensors and actuators.

OpenAI's Gym written in pure Rust for blazingly fast performance

An accurate and ultra-fast hybrid genome assembler

Differential Dynamic Programming controller operating in OpenAI Gym environment.

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)

Cloud-native Financial Reinforcement Learning

An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)

Make it easy to specify simple MDPs that are compatible with the OpenAI Gym.

Training a Neural Network to play Pong from pixels

Pytorch implementation of distributed deep reinforcement learning

OpenAI Gym Hearts Card Game

Run OpenAI Gym on a Server

A platform to test reinforcement learning policies in the datacenter setting.

用深度强化学习玩合成大西瓜

An R package providing access to the OpenAI Gym API

this is the chinese version of <build ionic2 app chinese>

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

Android WebView H5 秒开方案总结

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

An easy-to-use reinforcement learning library for research and education.

Combining deep learning and reinforcement learning.

Super Mario Reinforcement Learning from Demonstration

Train reinforcement learning agent using ML-Agents with Google Colab.

Refu language

PySC2 OpenAI Gym Environments

ionic2-example <吃乎>一款美食app 🍜 ☕️ 🍦 （This is a support android and apple ionic2 case, a food app）

TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-world financial reports.

Docker image with OpenAI Gym, Baselines, MuJoCo and Roboschool, utilizing TensorFlow and JupyterLab.

kerkee is a hybrid app framework,This repository is kerkee for ios

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

Hybrid web/desktop applications on Linux

RealAnt robot platform for low-cost, real-world reinforcement learning

Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.

Usage of genetic algorithms to train a neural network in multiple OpenAI gym environments.

A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources

An OpenAI Gym interface to Tetris on the NES.

AI4U is a multi-engine plugin (Unity and Godot) that allows you to specify agents with reinforcement learning visually. Non-Player Characters (NPCs) of games can be designed using ready-made components. In addition, AI4U has a low-level API that allows you to connect the agent to any algorithm made available in Python by the reinforcement learni…

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

Azure Monitor for Containers

Lightweight flow-level simulator for inter-node network and service coordination (e.g., in cloud/edge computing or NFV).