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

My Solution to Assignments of CS234

PyTorch implementation of soft actor critic

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

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

🐳 Bring ROS to any Linux distributions.

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

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

Gazebo/ROS packages for underwater robotics simulation

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

TensorFlow2 Reinforcement Learning

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

Repo for the Deep Reinforcement Learning Nanodegree program

No description or website provided.

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

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..

A Configurable Recommender Systems Simulation Platform

A PyTorch library for building deep reinforcement learning agents.

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

Implementations of Reinforcement Learning Models in Tensorflow

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

Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.

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

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

Code repository for the Animal AI Olympics competition

Open-source simulator for autonomous driving research.

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

Trax — Deep Learning with Clear Code and Speed

No description or website provided.

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

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

Simulation of spiking neural networks (SNNs) using PyTorch.

Reinforcement learning environments with musculoskeletal models

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

中国大学MOOC《机器人操作系统入门》代码示例 ROS tutorial

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

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Webots Robot Simulator

Implementation of the Deep Q-learning algorithm to solve MDPs

Package to simulate Neobotix robots

For deep RL and the future of AI.

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

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

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

TensorFlow and Deep Learning Tutorials

USV simulator for ROS

Open source simulator for maritime robotics researchers

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

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

Collection of quadrupedal robots configured to work in CHAMP development framework

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

tensorflow deep RL for driving a rover around

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

Notes and comments about Deep Reinforcement Learning papers

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

A Trading environment base on Gym

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

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

The code for the SRDQN algorithm to train an agent for the beer game problem

Autonomous Drifting using Reinforcement Learning