WilliamWu96's Stars
minghongx/ocs2
Unoffical dockerised Optimal Control for Switched Systems (OCS2).
AMZ-Racing/fsd-resources
ajschumacher/ajschumacher.github.io
blog
NotAnyMike/gym
An improvement of CarRacing-v0 from OpenAI Gym in order to make the environment complex enough for Hierarchical Reinforcement Learning
xtma/pytorch_car_caring
Reinforcement Learning for Gym CarRacing-v0 with PyTorch
elsheikh21/car-racing-ppo
Implementation of a Deep Reinforcement Learning algorithm, Proximal Policy Optimization (SOTA), on a continuous action space openai gym (Box2D/Car Racing v0)
zq1997/deepin-wine
【deepin源移植】Debian/Ubuntu上的QQ/微信快速安装方式
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
clementbernardd/Count-Based-Exploration
Our version of #Exploration: A Study of Count-Based Explorationfor Deep Reinforcement Learning for a class project
ramdrop/autoplace
Implementation for the paper: AutoPlace: Robust Place Recognition with Single-chip Automotive Radar
Farama-Foundation/HighwayEnv
A minimalist environment for decision-making in autonomous driving
eleurent/phd-bibliography
References on Optimal Control, Reinforcement Learning and Motion Planning
havelhuang/BayLime
bayesian lime
havelhuang/ReAsDL
The Reliability Assessment Model for Deep Learning systems
Alexkael/S2O
Dengyu-Wu/spkeras
Conversion from CNNs to SNNs using Tensorflow-Keras
dotchen/LearningByCheating
(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning
dotchen/WorldOnRails
(ICCV 2021, Oral) RL and distillation in CARLA using a factorized world model
nicklashansen/dmcontrol-generalization-benchmark
DMControl Generalization Benchmark
oscarknagg/adversarial
Creating and defending against adversarial examples
davide97l/rl-policies-attacks-defenses
Adversarial attacks on Deep Reinforcement Learning (RL)
datawhalechina/easy-rl
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
MorvanZhou/tutorials
机器学习相关教程
bitfsd/FSACOCO
Open source cone detection dataset for FSAC