CarlaOpen-source simulator for autonomous driving research.
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Master-ThesisDeep 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
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l2rOpen-source reinforcement learning environment for autonomous racing.
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Gym CarlaAn OpenAI gym wrapper for CARLA simulator
Stars: ✭ 164 (+429.03%)
Carla-ppoThis 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.
Stars: ✭ 122 (+293.55%)
Macad GymMulti-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:
Stars: ✭ 106 (+241.94%)
omdJAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
Stars: ✭ 43 (+38.71%)
multi view ramNo description or website provided.
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MP-DQNSource code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
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Visualizing-lidar-dataVisualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application
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TF RLEagerly Experimentable!!!
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drift drlHigh-speed Autonomous Drifting with Deep Reinforcement Learning
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RLReinforcement Learning Demos
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drl graspingDeep Reinforcement Learning for Robotic Grasping from Octrees
Stars: ✭ 160 (+416.13%)
chiA high-level framework for advanced deep learning with TensorFlow
Stars: ✭ 55 (+77.42%)
pillar-motionSelf-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)
Stars: ✭ 98 (+216.13%)
mmnMoore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks
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YOLOPYou Only Look Once for Panopitic Driving Perception.(https://arxiv.org/abs/2108.11250)
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DeepLearningFlappyFrogFlappy Frog hack using Deep Reinforcement Learning (Deep Q-learning). 暴力膜蛤不可取。
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decentralized-rlDecentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)
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SelfDrivingRCCarAutonomous RC Car using Neural Networks, Python and Open CV
Stars: ✭ 102 (+229.03%)
pytorch-noreward-rlpytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction
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imitation learningPyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
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muzeroA clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.
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pyMHTTrack oriented, multi target, multi hypothesis tracker
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efficient online learningEfficient Online Transfer Learning for 3D Object Detection in Autonomous Driving
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LWDRLCLightweight deep RL Libraray for continuous control.
Stars: ✭ 14 (-54.84%)
CrowdNav DSRNN[ICRA 2021] Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
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FinRL PodracerCloud-native Financial Reinforcement Learning
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pokeaiDevelop ultimate AI Pokémon trainer
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AVP-SLAM-PLUSAn implementation of AVP-SLAM and some new contributions
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code summarization publicsource code for 'Improving automatic source code summarization via deep reinforcement learning'
Stars: ✭ 71 (+129.03%)
deep-rtsA Real-Time-Strategy game for Deep Learning research
Stars: ✭ 152 (+390.32%)
datascience-mashupIn 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.
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dgpML Dataset Governance Policy for Autonomous Vehicle Datasets
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DDPGEnd to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo
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alpha sigmaA pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.
Stars: ✭ 134 (+332.26%)
glcapsnetGlobal-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.
Stars: ✭ 33 (+6.45%)
dig-into-apolloApollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
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rtrlPyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)
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pomdp-baselinesSimple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022
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FLAT[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory
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MotionNetCVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"
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bark-mlGym environments and agents for autonomous driving.
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highway-path-planningMy path-planning pipeline to navigate a car safely around a virtual highway with other traffic.
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carla-data-exportA simple tool for generating training data from the Carla driving simulator
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minervaAn out-of-the-box GUI tool for offline deep reinforcement learning
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RamudroidRamudroid, autonomous solar-powered robot to clean roads, realtime object detection and webrtc based streaming
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Pytorch-PCGradPytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
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AI booklet CE-AUTBooklet and exam of Artificial Intelligence Master Degree at Amirkabir University of technology.
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AI使用深度强化学习解决视觉跟踪和视觉导航问题
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interp-e2e-drivingInterpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Stars: ✭ 159 (+412.9%)
MotionPlannerMotion Planner for Self Driving Cars
Stars: ✭ 129 (+316.13%)
self-driving-ish computer vision systemThis project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT
Stars: ✭ 254 (+719.35%)