FinlandChef's repositories
smart-traffic
Building an intelligent traffic control system via deep reinfocement learning
Cartpole_game
Cartpole game with different algorithm
Deep-Learning-Power-Allocation-in-Massive-MIMO
This is the code package related to the follow scientific article: Luca Sanguinetti, Alessio Zappone, Merouane Debbah 'Deep-Learning-Power-Allocation-in-Massive-MIMO' presented at the Asilomar Conference on Signals, Systems, and Computers, 2018. http://www.asilomarsscconf.org
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
ericwang.github.io
Zixin Wang's personal page
GNNforOTAFL
learn to allocate wireless resources with GNN in over-the-air FL system
HGNNforMAC
Hypergraph Neural Networks (AAAI 2019)
MachineLearningNote
Note for personal reading, mainly in machine learning, reinforcement learning, sometimes signal processing
Maximum-Entropy-Model
An implementation of MaxEnt, with Mini-batch Stochastic Gradient approach to get the optimized parameters.
pybullet-gym
Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
PyTorch-ActorCriticRL
PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.
reinforcement-learning-an-intro
Reinforcement learning :An introduction (second edition)
StarCraft
Implementations of QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II