pseudo-labelling---a-semi-supervised-learning-technique

pseudolabeling

Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"

pseudo_label-pytorch

The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks

pseudo_labeling_small_datasets

Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks")

python_csinet

Python code for "Deep Learning for Massive MIMO CSI Feedback"

pytorch-ddpg

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

references--reinforcement-learning

Papers being part of the state of the art on reinforcement learning

reinforcement-learning-in-comm-theory

Project regarding Resource allocation using RL

reinforcementlearning

reinforcementlearning-baselines

reproducible-deep-learning-in-communication

resourceallocation-commml

resources-allocation-in-the-edge-computing-environment-using-reinforcement-learning

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

rl_abstraction

Code for experimenting with state and action abstractions in reinforcement learning.

rode

Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is a scalable role-based multi-agent learning method which effectively discovers roles based on joint action space decomposition according to action effects, establishing a new state of the art on the StarCraft multi-agent benchmark.

rsma-shortpacket-gai

scienceplot-for-publication

seglord

selar-reimplementation

self-supervisedlearning

semantic-bt

semanticcommunication

semcom-pytorch

skydvn

skydvn.github.io

some-lr-decay

sotawhat

Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.

state-space-abstraction-hierarchical-rl

state_abstraction

Code for abstracting, evaluating, and visualizing Markov Decision Processes.

student-teacher-transfer-learning