lmc19970711's repositories

lmc19970711

Config files for my GitHub profile.

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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RL_CARLA

Train auto_car in CARLA simulator with RL algorithms(SAC).

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DeepLearningFlappyBird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

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Personalizing-ADAS-in-CARLA

Personalization of Assistive Driving in Carla Simulator

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minimalRL

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

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cchess-zero

AlphaZero implemented Chinese chess. AlphaGo Zero / AlphaZero实践项目,实现**象棋。

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LUSR

Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation (AAAI 2021)

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carla-aebs

Implementation of an Advanced Emergency braking system in CARLA

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CarlaRL

DDPG and Birds-Eye-View Generation for CARLA

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Hands-On-Intelligent-Agents-with-OpenAI-Gym

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

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Carla_The_RL_Self-Driving-Car

Carla_The_RL_Self-Driving Car

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My_Bibliography_for_Research_on_Autonomous_Driving

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

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reinforcement-learning-based-driving-decision-in-Carla

reinforcement learning based agents for self-driving in CARLA

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CarlaFinal

Carla Multi Agent Deep Reinforcement Learning

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ChineseChess-AlphaZero

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

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CARLA-2DBBox

This repo contains carla_vehicle_annotator module which can be used to automatically annotate Vehicle's 2D Bounding Boxes in CARLA SIMULATOR.

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CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

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Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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slac

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

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ntu-hsuantienlin-ml

:book: **大学林轩田机器学习笔记

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macad-gym

Multi-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:

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data_aggregation

This repository contains the code for the CVPR 2020 paper "Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving"

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min-carla-env

2d Deep Reinforcement Learning environment with Carla

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MotionPlanning

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

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