1523 Open source projects that are alternatives of or similar to Aws Robomaker Sample Application Deepracer

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

RAD: Reinforcement Learning with Augmented Data

Python library for Reinforcement Learning.

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Teach a Quadcopter How to Fly!

DrQ: Data regularized Q

ROS 2 enabled Machine Learning algorithms

MuZero

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

An environment to high-frequency trading agents under reinforcement learning

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

Explore and find reinforcement learning environments in a list of 150+ open source environments.

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

Gibson Environments: Real-World Perception for Embodied Agents

Simulation of spiking neural networks (SNNs) using PyTorch.

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

A gym environment for Stuart Armstrong's model of a treacherous turn.

Using deep reinforcement learning to tackle the game 2048.

Reinforcement Learning Algorithms

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Implementation of the Deep Q-learning algorithm to solve MDPs

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

Open source simulator for maritime robotics researchers

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

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

中国大学MOOC《机器人操作系统入门》代码示例 ROS tutorial

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

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

For deep RL and the future of AI.

Scalable, event-driven, deep-learning-friendly backtesting library

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

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Package to simulate Neobotix robots

USV simulator for ROS

Collection of quadrupedal robots configured to work in CHAMP development framework

Reinforcement learning environments with musculoskeletal models

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

An advanced program in Machine Learning and Deep Learning

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

A Trading environment base on Gym

Webots Robot Simulator

🤖 Implements of Reinforcement Learning algorithms.

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

Notes and comments about Deep Reinforcement Learning papers

[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

Highly Modular and Scalable Reinforcement Learning

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)