MahdiehNejati

MahdiehNejati

Geek Repo

Github PK Tool:Github PK Tool


Organizations
argallab
ezoic increase your site revenue

MahdiehNejati's repositories

imitation

Clean PyTorch implementations of imitation and reward learning algorithms

License:MITStargazers:0Issues:0Issues:0

pymde

Minimum-distortion embedding with PyTorch

License:Apache-2.0Stargazers:0Issues:0Issues:0

google-research

Google Research

License:Apache-2.0Stargazers:0Issues:0Issues:0

MetaLearning-TF2.0

Meta learning framework with Tensorflow 2.0

Stargazers:0Issues:0Issues:0

PhysioNet-Cardiovascular-Signal-Toolbox

PhysioNet Cardiovascular Signal Toolbox

Stargazers:0Issues:0Issues:0

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

License:MITStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0
License:GPL-3.0Stargazers:0Issues:0Issues:0

PLAS

Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]

Stargazers:0Issues:0Issues:0

Awesome-Imitation-Learning

A curated list of awesome imitation learning resources and publications

Stargazers:0Issues:0Issues:0

vild_code

Source code of "Variational Imitation Learning with Diverse-quality Demonstrations" in ICML 2020. This github repository includes python code and datasets used in the experiments.

Stargazers:0Issues:0Issues:0

RL-Set-Valued-Policy

Implementation for "Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies" (Tang, Modi, Sjoding, Wiens). ICML 2020

Stargazers:0Issues:0Issues:0

BCO

Implementation of Behavioral Cloning from Observationmentation

Stargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

irl-maxent

Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python

License:MITStargazers:0Issues:0Issues:0

Imitation-Learning-from-Imperfect-Demonstration

[ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"

Stargazers:0Issues:0Issues:0

lime

Lime: Explaining the predictions of any machine learning classifier

Language:JavaScriptLicense:BSD-2-ClauseStargazers:0Issues:0Issues:0
Language:ShellStargazers:0Issues:0Issues:0

r_ggplot_july2018

R data visualization workshop materials

Language:RLicense:MITStargazers:0Issues:0Issues:0

CB_AE_DQN

Contextual Bandits Action Elimination DQN

Stargazers:0Issues:0Issues:0
Language:PythonLicense:GPL-3.0Stargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

cpo

Constrained Policy Optimization

Language:PythonStargazers:0Issues:0Issues:0

theano-rnn

Demonstration of recurrent neural network implemented with Theano

Language:PythonLicense:BSD-3-ClauseStargazers:0Issues:0Issues:0
Language:CSSStargazers:0Issues:0Issues:0

agency-jekyll-theme

Agency Theme for Jekyll

Language:JavaScriptLicense:Apache-2.0Stargazers:0Issues:0Issues:0

raven2_ros

Catkinized Applied-Dexterity/raven2 package.

Language:C++Stargazers:0Issues:0Issues:0
Language:CMakeStargazers:0Issues:0Issues:0
Language:C++Stargazers:0Issues:0Issues:0

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter textbook using Ipython Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:0Issues:0Issues:0