671 Open source projects that are alternatives of or similar to Self Driving Truck

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

A JavaScript deep learning and reinforcement learning library.

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

A reinforcement learning environment for self-driving cars in the browser.

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

Velocity in deep-learning research

Collection of Deep Reinforcement Learning algorithms

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

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

Finding Lane Lines using Python and OpenCV

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

TrackMania 2020 through RL

Dataflow system for building self-driving car and robotics applications.

Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint

PyTorch implementation of Trust Region Policy Optimization

Deep Reinforcement Learning library for humans

Tensorforce: a TensorFlow library for applied reinforcement learning

[arXiv] What-If Motion Prediction for Autonomous Driving ❓🚗💨

Udacity's Self-Driving Car Nanodegree project files and notes.

RLgraph: Modular computation graphs for deep reinforcement learning

Self Driving RC Car

Dream to Control: Learning Behaviors by Latent Imagination

和（he for objective-c） —— “信息熵减机系统”

A list of recent papers regarding dialogue generation

📡 Organized Resources for Deep Learning Researchers and Developers

This is a simple implementation of DeepMind's PySC2 RL agents.

AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

Pointer-generator reinforced seq2seq summarization in PyTorch

[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

Stock Trading Bot using Deep Q-Learning

Lane Detection for Self Driving Car

Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.

Vehicle State Estimation using Error-State Extended Kalman Filter

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

No description or website provided.

Grokking Deep Reinforcement Learning

things I help(ed) to build

Applying Reinforcement Learning in Quantitative Trading

Ogma - OgmaDrive https://ogma.ai/

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Simple and comprehensive tutorials in TensorFlow

Self driving car in GTAV with Deep Learning

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

GPS Localization with ROS, OSM and rviz

MCTS project for Tetris

Mastering Atari with Discrete World Models

Seamless, distributed, real-time integration of Blender into PyTorch data pipelines

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

The core technology behind Self Driving Cars today.

DrQ: Data regularized Q

First Project Udacity's Self-Driving NanoDegree

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗

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

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..