1108 Open source projects that are alternatives of or similar to Gps

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

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

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

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

Gibson Environments: Real-World Perception for Embodied Agents

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

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

A universal flight control tuning framework

RLgraph: Modular computation graphs for deep reinforcement learning

Tensorforce: a TensorFlow library for applied reinforcement learning

PyTorch implementation of soft actor critic

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

ROS 2 enabled Machine Learning algorithms

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

Dream to Control: Learning Behaviors by Latent Imagination

RAD: Reinforcement Learning with Augmented Data

Python library for Reinforcement Learning.

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

A3C LSTM Atari with Pytorch plus A3G design

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

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

Implementations of Reinforcement Learning Models in Tensorflow

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

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

A course in reinforcement learning in the wild

Initiative to read research papers

Safe Bayesian Optimization

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

Repository to accompany RSS 2018 paper on dexterous hand manipulation

Reinforcement learning algorithms for MuJoCo tasks

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.

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

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

Open-source reinforcement learning environment for autonomous racing.

DrQ: Data regularized Q

Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"

Mastering Atari with Discrete World Models

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, SAC-AEA)

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

Repo for the Deep Reinforcement Learning Nanodegree program

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

Simple 3D interior simulator for RL & robotics research

A PyTorch library for building deep reinforcement learning agents.

Grokking Deep Reinforcement Learning

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

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

A curated list of awesome self-supervised methods

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

My Exploration on Deep Reinforcement Learning Survey

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

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

PyTorch implementation of Trust Region Policy Optimization

TensorFlow2 Reinforcement Learning