Clean PyTorch implementations of imitation and reward learning algorithms
Minimum-distortion embedding with PyTorch
Meta learning framework with Tensorflow 2.0
PhysioNet Cardiovascular Signal Toolbox
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]
A curated list of awesome imitation learning resources and publications
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.
Implementation for "Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies" (Tang, Modi, Sjoding, Wiens). ICML 2020
Implementation of Behavioral Cloning from Observationmentation
Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python
[ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"
Lime: Explaining the predictions of any machine learning classifier
R data visualization workshop materials
Contextual Bandits Action Elimination DQN
Constrained Policy Optimization
Demonstration of recurrent neural network implemented with Theano
Agency Theme for Jekyll
Catkinized Applied-Dexterity/raven2 package.
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.