1404 Open source projects that are alternatives of or similar to Maro

Reinforcement learning environments with musculoskeletal models

Self-driving car simulator for the Duckietown universe

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

A simple framework for experimenting with Reinforcement Learning in Python.

A power network simulator with a Reinforcement Learning-focused usage.

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

Reinforcement learning models in ViZDoom environment

Gibson Environments: Real-World Perception for Embodied Agents

Minimalistic gridworld package for OpenAI Gym

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

simobility - light-weight mobility simulation framework. Best for quick prototyping

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

API to run VirtualHome, a Multi-Agent Household Simulator

Easy massive SNMP-agent simulation with the use of simple YAML files

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

Docker image for a Jenkins agent which can connect to Jenkins using TCP or Websocket protocols

How to use TensorLayer

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

repository to research & share the machine learning articles

Example Order Book Imbalance Algorithm

DeltaPy - Tabular Data Augmentation (by @firmai)

Open source Uber #deleteuber

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

AtsPy: Automated Time Series Models in Python (by @firmai)

In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.

🤖 Deep Reinforcement Learning Chatbot

Simple 3D interior simulator for RL & robotics research

A reinforcement learning environment for self-driving cars in the browser.

Python API for FRED (Federal Reserve Economic Data) and ALFRED (Archival FRED)

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Implementation of Meta-RL A3C algorithm

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

RISC-V Assembler and Runtime Simulator

PyTorch C++ Reinforcement Learning

RAISIM, A PHYSICS ENGINE FOR ROBOTICS AND AI RESEARCH

DeviceKit is a value-type replacement of UIDevice.

Rimworld Hardcore SK project, our portal:

Reinforcement Learning for Portfolio Management

Structural implementation of RL key algorithms

OANDA REST-V20 API wrapper. Easy access to OANDA's REST v20 API with oandapyV20 package. Checkout the Jupyter notebooks!

Repository for most of the code from my YouTube channel

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features

Deep Q-learning for playing tetris game

PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.

Reinforced Recommendation toolkit built around pytorch 1.7

Sustainable transport planning with R

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Code for Machine Learning for Algorithmic Trading, 2nd edition.