mlshehab

learning_true_objectives

Code for the paper "Learning True Objectives"

Book-Mathematical-Foundation-of-Reinforcement-Learning

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

driving_simulator_highD_data

finite_sample_identifiability

homework

Assignments for CS294-112.

irl-imitation

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

KoopCZono

Repository on Backward reachable sets (BRS) using Koopman (Koop) and Zonotopes (Zo)

mlshehab

Config files for my GitHub profile.

mlshehab.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Practical_RL

A course in reinforcement learning in the wild

mlshehab/reward_machines_id

Study of IRL identifiability with reward machines structure.

mlshehab/learning_true_objectives

Code for the paper "Learning True Objectives"

mlshehab/KoopCZono

Repository on Backward reachable sets (BRS) using Koopman (Koop) and Zonotopes (Zo)

mlshehab/Book-Mathematical-Foundation-of-Reinforcement-Learning

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

mlshehab/finite_sample_identifiability

mlshehab/mlshehab.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

mlshehab/driving_simulator_highD_data

mlshehab/irl-imitation

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

mlshehab/Practical_RL

A course in reinforcement learning in the wild

mlshehab/tetris_Q_learning_LFA

mlshehab/mlshehab

Config files for my GitHub profile.

mlshehab/homework

Assignments for CS294-112.