MahdiehNejati's repositories
imitation
Clean PyTorch implementations of imitation and reward learning algorithms
pymde
Minimum-distortion embedding with PyTorch
google-research
Google Research
MetaLearning-TF2.0
Meta learning framework with Tensorflow 2.0
PhysioNet-Cardiovascular-Signal-Toolbox
PhysioNet Cardiovascular Signal Toolbox
stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
PLAS
Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]
Awesome-Imitation-Learning
A curated list of awesome imitation learning resources and publications
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.
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
BCO
Implementation of Behavioral Cloning from Observationmentation
irl-maxent
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
Imitation-Learning-from-Imperfect-Demonstration
[ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"
lime
Lime: Explaining the predictions of any machine learning classifier
r_ggplot_july2018
R data visualization workshop materials
CB_AE_DQN
Contextual Bandits Action Elimination DQN
cpo
Constrained Policy Optimization
theano-rnn
Demonstration of recurrent neural network implemented with Theano
agency-jekyll-theme
Agency Theme for Jekyll
raven2_ros
Catkinized Applied-Dexterity/raven2 package.
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.
