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

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

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

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

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

Hierarchical-DQN in pytorch (not actively maintained)

Playing Mario with Deep Reinforcement Learning

Lane detection MATLAB code for Kalman Filter book chapter: Lane Detection

3d bounding box estimation from monocular image based on 2d bounding box

PyLidar3 is python 3 package to get data from Lidar devices from various manufacturers.

A deep neural network that learns to drive in video games

Real-time path planning for vehicles.

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Code repository for the Animal AI Olympics competition

Java Autonomous Driving Appplication. Real time video car,pedistrians detection

Artificial intelligence for the Snake game.

Guided Policy Search

Implementation of A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application

Autonomous Driving Simulator for the Portuguese Robotics Open

Resources, papers, tutorials

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

Self-driving RC Car ROS Software

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

🐵 An AI chess-board-game framework(by many programming languages) implementations.

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

Deep Reinforcement Learning for Robotic Grasping from Octrees

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.

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

The SSBM "Phillip" AI.

CVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"

Booklet and exam of Artificial Intelligence Master Degree at Amirkabir University of technology.

A3C LSTM Atari with Pytorch plus A3G design

The implementation of "Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning" (ACM MM 2019)

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

Reinforcement Learning Demos

A course in reinforcement learning in the wild

Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Real-time Joint Semantic Reasoning for Autonomous Driving

Notes on Deep Reinforcement Learning for Natural Language Processing papers

A pytorch tutorial for DRL(Deep Reinforcement Learning)

Flappy Frog hack using Deep Reinforcement Learning (Deep Q-learning). 暴力膜蛤不可取。

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

Autonomous RC Car using Neural Networks, Python and Open CV

A list of references on lidar point cloud processing for autonomous driving

A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.

⚡️ The Mobile Robot Programming Toolkit (MRPT)

使用深度强化学习解决视觉跟踪和视觉导航问题

(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

We reproduced DeepMind's results and implement a meta-learning (MLSH) agent which can generalize across minigames.

A deep reinforcement learning bot that plays tetris

The devkit of the nuPlan dataset.

Built a real-time lane departure warning system with a monocular camera, using OpenCV.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Code release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020)

PyTorch Implementation of Trust Region Policy Optimization (TRPO)

Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

DISCONTINUED - MIGRATED TO TIANRACER - A Low cost Autonomous Driving Car Educational and Competition Kit