Alvaro Cabrejas Egea's repositories
Vissim_RL_Traffic_Lights_Control
VISSIM Reinforcement Learning for Urban Traffic Control. DQN, DDQN, D3QN, A2C, PER.
IEEE_SMC2020_RL_UrbanTraffic_Multimodal
Pre-print version of "Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations"
IEEE_ITSC2020_WARP
Presented in IEEE ITSC2020 (Sep'20) Pre-print version and code. WARP: Wavelet Augmented Regression Profiling
CooperationInSocialNetworks
Achieving Global Cooperation in Social Networks Through Peer Punishment
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
DeviationsFromProfile
Deviations from Profiles in UK Motorways - Thales, Highways UK and University of Warwick
IEEE-Profiles
Published in IEEE ITSC2018. Paper on generation of Traffic Profiles with Spectral Analysis and Non-Parametric Regression.
IEEE_SMC2020_Reward_Functions_RL_UTC
Presented in IEEE 23rd International Conference in Systems, Man, and Cybernetics. Pre-print version of "Assessment of Reward Functions for Reinforcement Learning Vehicular Traffic Signal Control Under Real-World Limitations"
NoisyOptimisationWithStochasticAnnealing
Optimisation of computationally intensive noisy simulations with Optimal Stochastic Annealing
NTIS_Profiles
Travel Time Profile Estimations using seasonality extraction via non-parametric regression models applied to UK NTIS Motorway data
PAPERRewardFunctionsInTrafficRL
Comparison between Reward Functions for Urban Traffic Control RL in a real-world intersection.
Timescales_and_Discount_Factor_in_UTC
Looking into the relevance of \gamma (discount factor) in RL applied to Urban Traffic Control, looking at the relationship between it and how the timescales in which the state variables vary
gym
A toolkit for developing and comparing reinforcement learning algorithms.
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook