ml-tina Goto Github PK

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.

breasttissue_classify_matlab

ddpg

reinforcement learning ddpg code. follow deepmind papers.

ddpg-1

Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow

ddpg-keras-torcs

Using Keras and Deep Deterministic Policy Gradient to play TORCS

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deep-reinforcement-learning-papers-1

A list of papers and resources dedicated to deep reinforcement learning

dqn_tensorflow

Tensorflow implementation of deep Q networks in paper 'Playing Atari with Deep Reinforcement Learning'

evolution-strategies-starter

Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

evolutionary-algorithm

Evolutionary Algorithm using Python

flow

Computational framework for reinforcement learning in traffic control

general

The official registry of general Julia packages

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym_torcs

hctsa

Highly comparative time-series analysis code repository

highd-dataset

higwayovertakinglanechanges

Lane Changes in a Highway environment using Reinforcement learning in SUMO

mictools

A practical tool for Maximal Information Coefficient (MIC) analysis

neat-python

Python implementation of the NEAT neuroevolution algorithm

ngsim_env

An rllab environment for learning human driver models with imitation learning using NGSIM data

paramnoise

A comparison of parameter space noise methods for exploration in deep reinforcement learning

pytorch-es

Evolution Strategies in PyTorch

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-for-decision-making-in-self-driving-cars

Reinforcement-Learning-for-Decision-Making-in-self-driving-cars

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rlcode

sgan

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

stock-price-prediction-lstm

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

sumo-changing-lane-agent

Implementation of a reinforcement learning agent able to do autonomous changing lane using Sumo