Jck (JCK-1096)

JCK-1096

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Jck's repositories

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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

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IoT-MAB

Decentralized Intelligent Resource Allocation for LoRaWAN Networks

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Resource-allocation-in-Cognitive-Radio-

Resource allocation for underlay DSA Cognitive Radio networks using reinforcement learning (Q-Learning))

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CourseraMachineLearning

Coursera Machine Learning By Prof. Andrew Ng

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Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

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DeepLearningTutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

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finite_mdp

Solve finite Markov Decision Process models.

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foundations_for_deep_learning

Building a foundation for deep learning with mathematics and neuroscience

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ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

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markov-decision-process-examples

A simple GUI and algorithms to experiment with Markov Decision Process

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mdpy

Markov Decision Processes in Python

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MSc2015Andi

noitatnemelpmi CAM dna YHP ETL

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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.

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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.

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pytorch-DRL

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

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Reinforcement-Learning

Implementation of various Reinforcement Learning Algorithms

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Reinforcement-Learning-Algorithms

Step by Step Reinforcement Learning Tutorials.

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Reinforcement-Learning-With-Python

Reinforcement Learning Notebooks

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rfnoc-pfb-channelizer

RFNoC out-of-tree module for a channelizer

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rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

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