440 Open source projects that are alternatives of or similar to drift_drl

Open-source simulator for autonomous driving research.

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

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

Julia sample codes for Autonomy, Robotics and Self-Driving Algorithms.

Autonomous ground exploration mobile robot which has 3-DOF manipulator with Intel Realsense D435i mounted on a Tracked skid-steer drive mobile robot. The robot is capable of mapping spaces, exploration through RRT, SLAM and 3D pose estimation of objects around it. This is an custom robot with self built URDF model.The Robot uses ROS's navigation…

lane change trajectories extracted from NGSIM

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Automile offers a simple, smart, cutting-edge telematics solution for businesses to track and manage their business vehicles.

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

Functional Reinforcement Learning in Scala.

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

Live Trading. Please star.

3D RL Volleyball environment built on Unity ML-Agents

Webots projects (PROTO files, controllers, simulation worlds, etc.) contributed by the community.

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

Automile offers a simple, smart, cutting-edge telematics solution for businesses to track and manage their business vehicles.

No description or website provided.

Cloud-native Financial Reinforcement Learning

JAX implementations of core Deep RL algorithms

Learning Continuous Control in Deep Reinforcement Learning

Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Using self-play, MCTS, and a deep neural network to create a hearthstone ai player

Ape-X DQN & DDPG with pytorch & tensorboard

Mario AI Ensemble

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

PyTorch pipeline of MIT Driverless Computer Vision paper(2020)

A Real-Time-Strategy game for Deep Learning research

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

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

Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.

Lightweight deep RL Libraray for continuous control.

Revisiting Rainbow

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.

Eagerly Experimentable!!!

Self Driving Cars Longitudinal and Lateral Control Design

FMT Autopilot Embedded System

A Universal Deep Reinforcement Learning Framework

SCUTTLE™: Sensing, Connected, Utility Transport Taxi for Level Environments [An open-source Mobile Robot]

Reinforcement Learning for Super Mario Bros using A3C on GPU

Global-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.

Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

☔ Deep RL agents with PyTorch☔

Ramudroid, autonomous solar-powered robot to clean roads, realtime object detection and webrtc based streaming

Vehicle Detection using Mask R-CNN and Computer Vision based Lane Detection

Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application

Awesome RL: Papers, Books, Codes, Benchmarks

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

The page of the Ural Federal University course "Reinforcement Learning and Neural Networks"

Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)

SubjuGator 8 on-board software

GndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks.

Track oriented, multi target, multi hypothesis tracker

No description or website provided.

A high-level framework for advanced deep learning with TensorFlow