Python implementations of contextual bandits algorithms

A tensorflow implementation for Deep clustering: Discriminative embeddings for segmentation and separation

deep clustering method for single-channel speech separation

Single-channel blind source separation

Additive factors model and additive factors model with slip implemented in python

Code exploring the use of reward machines in the context of cooperative multi-agent reinforcement learning.

Case-Study on Reinforcement Learning for Intralogistics

Environments from the papers "Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning" and "Induction and Exploitation of Subgoal Automata for Reinforcem…

just to reimplement a paper called " Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning"