1103 Open source projects that are alternatives of or similar to Causalworld

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

Reinforcement learning algorithms for MuJoCo tasks

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

A selection of state-of-the-art research materials on decision making and motion planning.

Reinforcement Learning and Transfer Learning based StarCraft Micromanagement

Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

A curated list of awesome self-supervised methods

A curated list of awesome links and software libraries that are useful for robots.

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

An OpenAI Gym Env for Panda

My Exploration on Deep Reinforcement Learning Survey

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

My Reading Lists of Deep Learning and Natural Language Processing

Initiative to read research papers

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

tensorflow deep RL for driving a rover around

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

Mastering Atari with Discrete World Models

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Gibson Environments: Real-World Perception for Embodied Agents

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

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

Simple 3D interior simulator for RL & robotics research

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

Dream to Control: Learning Behaviors by Latent Imagination

OpenAI Gym environments using DART

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Complete-Life-Cycle-of-a-Data-Science-Project

和（he for objective-c） —— “信息熵减机系统”

Safe Bayesian Optimization

Repository to accompany RSS 2018 paper on dexterous hand manipulation

ROS 2 enabled Machine Learning algorithms

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

An open-source 3D-printed quadrupedal robot. Intuitive gait generation through 12-DOF Bezier Curves. Full 6-axis body pose manipulation. Custom 3DOF Leg Inverse Kinematics Model accounting for offsets.

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

A universal flight control tuning framework

Guided Policy Search

Behavior Optimization and Learning for Robots

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

PyTorch implementation of Looking Fast and Slow: Memory-Guided Mobile Video Object Detection

Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

Deep Hough Voting for 3D Object Detection in Point Clouds

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

k: Kinematics Library for rust-lang

web site of robotics.rs. See index.md.

Reinforcement Learning in JavaScript

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

SimpleBot is a very basic robot designed for learning about NodeBots.

STag: A Stable Fiducial Marker System

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

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.