ML-Tina's Stars
CodeReclaimers/neat-python
Python implementation of the NEAT neuroevolution algorithm
ArztSamuel/Applying_EANNs
A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.
devsisters/DQN-tensorflow
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
flow-project/flow
Computational framework for reinforcement learning in traffic control
llSourcell/How_to_simulate_a_self_driving_car
This is the code for "How to Simulate a Self-Driving Car" by Siraj Raval on Youtube
chauvinSimon/Reinforcement-Learning-for-Decision-Making-in-self-driving-cars
Reinforcement-Learning-for-Decision-Making-in-self-driving-cars
libai1943/Cooperative-Lane-Changes-Trajectory-Planning-of-CAVs
Codes of "Cooperative Lane Change Motion Planning of Connected and Automated Vehicles: A Stepwise Computational Framework"
MaxPRon/CE_lane_change
Continous Environment for lane change
libai1943/Cooperative-Lane-Changes-of-CAVs
Codes for "Balancing Computation Speed and Quality: A Decentralized Motion Planning Method for Cooperative Lane Changes of Connected and Automated Vehicles"
MaxPRon/DQN_lane_change
Implemenation of DQN for lane changes
snmnmin12/Lane-Change-Simulation
This is an C++ implementation of lane change decision making in simulated autonomous driving, path planning and markov decision process as well as particle filters are considered
JuliaRegistries/General
The official registry of general Julia packages
floodsung/DDPG
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
RobertKrajewski/highD-dataset
ugo-nama-kun/gym_torcs
Kink3d/SimpleTraffic
A simple traffic simulation using Unity's Nav Mesh Components.
flow-project/flow-project.github.io
The website for the flow-project repo
udacity/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
williamFalcon/DeepRLHacks
Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
MorvanZhou/train-robot-arm-from-scratch
Build environment and train a robot arm from scratch (Reinforcement Learning)
supersheepbear/behavioral_cloning
udacity self driving course project3
stonycat/ML-in-Action-Code-and-Note
:chart_with_upwards_trend:Machine Learning code in Python3.x. (机器学习实战 py3代码整理)Some notes about the practices:(for reference only)
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
muupan/deep-reinforcement-learning-papers
A list of papers and resources dedicated to deep reinforcement learning
junhyukoh/deep-reinforcement-learning-papers
A list of recent papers regarding deep reinforcement learning
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
stevenpjg/ddpg-aigym
Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
yanpanlau/DDPG-Keras-Torcs
Using Keras and Deep Deterministic Policy Gradient to play TORCS