yuzhouxianzhi Goto Github PK

gym-metacar

OpenAI Gym wrapper for Metacar: A reinforcement learning environment for self-driving cars in the browser.

gym_example

An example implementation of an OpenAI Gym environment used for a Ray RLlib tutorial

h-baselines

A repository of high-performing hierarchical reinforcement learning models and algorithms.

highd

highd-dataset

highway-env

A minimalist environment for decision-making in autonomous driving

highwaytraffic

il-traffic

Learning energy-efficient driving behaviors by imitating experts

imitation

Clean PyTorch implementations of imitation learning algorithms

interaction-dataset

Interaction Dataset Python Scripts

interpret_challenge_closed_loop

a reference Implementation for the predictors in the "Closed-loop" INTERPRET prediction challenge

jorldy

Repository for Open Source Reinforcement Learning Framework JORLDY

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

marl_cavs

MARL for autonomous vehicles.

mbrl-gpmm

metadrive

MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning

mmtransformer

[CVPR 2021] "Multimodal Motion Prediction with Stacked Transformers": official code implementation and project page.

mvrl

Multi-view Reinforcement Learning

ngsim_env

Learning human driver models from NGSIM data with imitation learning.

opencda

A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

papers

Daily Paper Reading

pedestrian-risk-assessment

Git for sharing codefiles regarding my master-thesis

plymouth-traffic-env

Python API for the SUMO environment of Plymouth Rd.

prediction-using-bayesian-neural-network

Prediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectures aswell.

pymarl

Python Multi-Agent Reinforcement Learning framework

pytorch-drl

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

reinforcement_learning_basic_book

这是一个学习强化学习基础原理的仓库，主要包括了《深入浅出强化学习原理入门》书中一些例子和课后作业的代码

rl-agents

Implementations of Reinforcement Learning and Planning algorithms

rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.