497 Open source projects that are alternatives of or similar to Gym Carla

Open-source simulator for autonomous driving research.

Deep Reinforcement Learning algorithms implemented in PyTorch

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Open-source reinforcement learning environment for autonomous racing.

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

Autonomous driving: Tensorflow implementation of the paper "End-to-end Driving via Conditional Imitation Learning"

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..

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

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

TensorFlow2 Reinforcement Learning

[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

This repository contains the code for the CVPR 2020 paper "Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving"

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

Imitation learning algorithms

Deep Reinforcement Learning (DRL) agents applied to medical images

An offline deep reinforcement learning library

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

CSCI 599 deep learning and its applications final project

Goal-Oriented Chatbot trained with Deep Reinforcement Learning

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

Driving in CARLA using waypoint prediction and two-stage imitation learning

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

Teach a Quadcopter How to Fly!

深度学习论文阅读路线图

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

Scenarios, tutorials and demos for Autonomous Driving

TensorFlow implementation of Deep Reinforcement Learning papers

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

Real-time path planning for vehicles.

Resources, papers, tutorials

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

A deep reinforcement learning bot that plays tetris

Attention-guided CNN for image denoising(Neural Networks,2020)

EU Long-term Dataset with Multiple Sensors for Autonomous Driving

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

Python sample codes for robotics algorithms.

Basic versions of agents from Spinning Up in Deep RL written in PyTorch

Be Driven 🚘

Unity Machine Learning Agents Toolkit

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

Reinforcement learning with tensorflow 2 keras

Automated Driving in NFS using CNN.

A high-performance Atari A3C agent in 180 lines of PyTorch

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

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

🤖 Implements of Reinforcement Learning algorithms.

TensorFlow implementation of SqueezeDet, trained on the KITTI dataset.

A collection of materials to help you learn about deep learning

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym