Jck's repositories
Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
Resource-allocation-in-Cognitive-Radio-
Resource allocation for underlay DSA Cognitive Radio networks using reinforcement learning (Q-Learning))
ResourceAllocationReinforcementLearning
intial version
CourseraMachineLearning
Coursera Machine Learning By Prof. Andrew Ng
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
finite_mdp
Solve finite Markov Decision Process models.
foundations_for_deep_learning
Building a foundation for deep learning with mathematics and neuroscience
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
markov-decision-process-examples
A simple GUI and algorithms to experiment with Markov Decision Process
mdpy
Markov Decision Processes in Python
MSc2015Andi
noitatnemelpmi CAM dna YHP ETL
note_analysis_2stage_tasks
Code for the simulations discussed in the paper "A note on the analysis of two-stage task results: how changes in task structure affect what model-free and model-based strategies predict about the effects of reward and transition on the stay probability" by C. Feher da Silva and Todd A. Hare.
Playground
Curated collection of notebooks and code files I have worked on while learning a wide range of data science subfields, such as Reinforcement Learning, Natural Language Processing, Deep Neural Networks, Genetic Algorithms, etc. Some of these are accompanied by a pdf and/or article.
pytorch-DRL
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Reinforcement-Learning
Implementation of various Reinforcement Learning Algorithms
Reinforcement-Learning-Algorithms
Step by Step Reinforcement Learning Tutorials.
Reinforcement-Learning-With-Python
Reinforcement Learning Notebooks
rfnoc-pfb-channelizer
RFNoC out-of-tree module for a channelizer
rllab
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.