ML-Tina's repositories

HigwayOvertakingLaneChanges

Lane Changes in a Highway environment using Reinforcement learning in SUMO

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

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

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SUMO-changing-lane-agent

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

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DDPG-1

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

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evolution-strategies-starter

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

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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.

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ddpg

reinforcement learning ddpg code. follow deepmind papers.

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DDPG-Keras-Torcs

Using Keras and Deep Deterministic Policy Gradient to play TORCS

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deep-q-learning

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

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deep-reinforcement-learning-papers-1

A list of papers and resources dedicated to deep reinforcement learning

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DQN_tensorflow

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

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Evolutionary-Algorithm

Evolutionary Algorithm using Python

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flow

Computational framework for reinforcement learning in traffic control

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General

The official registry of general Julia packages

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gym

A toolkit for developing and comparing reinforcement learning algorithms.

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hctsa

Highly comparative time-series analysis code repository

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mictools

A practical tool for Maximal Information Coefficient (MIC) analysis

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neat-python

Python implementation of the NEAT neuroevolution algorithm

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ngsim_env

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

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ParamNoise

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

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pytorch-es

Evolution Strategies in PyTorch

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reinforcement-learning

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

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Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

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sgan

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

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Stock-Price-Prediction-LSTM

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

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time_seires_prediction_using_lstm

Time series prediction using LSTM classifier

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