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a-uav-mission-planning

A* based MATLAB-STK Tool for UAV mission planning

a3c

Tensorflow implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

attention-dqn

Deep Recurrent Attention Reinforcement Learning in Atari

blades

Blades: A simulator and benchmark for Byzantine-robust federated Learning with Attacks and Defenses Experimental Simulation

cil-ddqn

code of paper 《Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem》

cpo

Constrained Policy Optimization

dc3

DC3: A Learning Method for Optimization with Hard Constraints

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

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deepmellow

Implementation of DeepMellow algorithm (IJCAI 2019)

deeprl_network

multi-agent deep reinforcement learning for networked system control.

deeprl_signal_control

multi-agent deep reinforcement learning for large-scale traffic signal control.

deeprm

Resource Management with Deep Reinforcement Learning (HotNets '16)

deepslice

DeepSlice: A Deep Learning Approach towards an Efficient and Reliable Network Slicing in 5G Networks

deepslicing

Source Codes for: DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing

distributed-tensorflow-guide

Distributed TensorFlow basics and examples of training algorithms

double-deep-q-learning-for-resource-allocation

Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"

dqn-multi-agent-rl

Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)

drl-code-pytorch

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

drqn-tensorflow

Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

fedtp

This is official implementation of FedTP (TNNLS.2023) [https://ieeexplore.ieee.org/abstract/document/10130784].

fl-defender

FL-Defender: Combating Targeted Attacks in Federated Learning

gan-ddqn

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

hierarchical-multi-agent-drl-with-federated-learning

This is the code for paper "Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforcement LearningApproach"

i2q

I2Q: A Fully Decentralized Q-Learning Algorithm

icq

Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight https://arxiv.org/abs/2106.03400)

incentive-based-probability-update-and-strategy-selection

Code of Paper "Potential Game Based Channel Allocation for Vehicular Edge Computing (基于势博弈的车载边缘计算信道分配方法)", 电子学报2021.

joint-user-association-and-in-band-backhaul-scheduling-and-in-5g-mmwave-networks

Matlab Simulation for T. K. Vu, M. Bennis, S. Samarakoon, M. Debbah and M. Latva-aho, "Joint In-Band Backhauling and Interference Mitigation in 5G Heterogeneous Networks," European Wireless 2016; 22th European Wireless Conference, Oulu, Finland, 2016, pp. 1-6. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7499273&isnumber=7499250