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Code exploring the use of reward machines in the context of cooperative multi-agent reinforcement learning.
POMDP-based decision-making technique for Social Robots using ROS, Python and Julia
Code for our AAAI-22 paper Reinforcement Learning with Stochastic Reward Machines
Case-Study on Reinforcement Learning for Intralogistics
Additive factors model and additive factors model with slip implemented in python
just to reimplement a paper called " Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning"
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…
A tensorflow implementation for Deep clustering: Discriminative embeddings for segmentation and separation
chaodengusc / DeWave
Forked from zhr1201/deep-clusteringSingle-channel blind source separation
deep clustering method for single-channel speech separation
Python implementations of contextual bandits algorithms