ML-Tina

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

evolution-strategies-starter

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

HigwayOvertakingLaneChanges

Lane Changes in a Highway environment using Reinforcement learning in SUMO

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

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

RLcode

SUMO-changing-lane-agent

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

ML-Tina/HigwayOvertakingLaneChanges

Lane Changes in a Highway environment using Reinforcement learning in SUMO

ML-Tina/Reinforcement-Learning-for-Decision-Making-in-self-driving-cars

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

ML-Tina/SUMO-changing-lane-agent

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

ML-Tina/DDPG-1

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

ML-Tina/evolution-strategies-starter

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

ML-Tina/RLcode

ML-Tina/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.

ML-Tina/BreastTissue_classify_matlab

ML-Tina/ddpg

reinforcement learning ddpg code. follow deepmind papers.

ML-Tina/DDPG-Keras-Torcs

Using Keras and Deep Deterministic Policy Gradient to play TORCS

ML-Tina/deep-q-learning

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

ML-Tina/deep-reinforcement-learning-papers-1

A list of papers and resources dedicated to deep reinforcement learning

ML-Tina/DQN_tensorflow

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

ML-Tina/Evolutionary-Algorithm

Evolutionary Algorithm using Python

ML-Tina/flow

Computational framework for reinforcement learning in traffic control

ML-Tina/General

The official registry of general Julia packages

ML-Tina/gym

A toolkit for developing and comparing reinforcement learning algorithms.

ML-Tina/gym_torcs

ML-Tina/hctsa

Highly comparative time-series analysis code repository

ML-Tina/highD-dataset

ML-Tina/mictools

A practical tool for Maximal Information Coefficient (MIC) analysis

ML-Tina/neat-python

Python implementation of the NEAT neuroevolution algorithm

ML-Tina/ngsim_env

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

ML-Tina/ParamNoise

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

ML-Tina/pytorch-es

Evolution Strategies in PyTorch

ML-Tina/reinforcement-learning

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

ML-Tina/Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

ML-Tina/sgan

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

ML-Tina/Stock-Price-Prediction-LSTM

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

ML-Tina/time_seires_prediction_using_lstm

Time series prediction using LSTM classifier