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1. ImanRHT/MEC_Environment ImanRHT/MEC_Environment Public

   A Realistic Mobile Edge Computing environment; with conditions for deadline and energy Energy-Constrained

   Python 32 5

2. ImanRHT/QECO ImanRHT/QECO Public

   A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrati…

   Python 178 39

3. JohannesAck/tf2multiagentrl JohannesAck/tf2multiagentrl Public

   Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x

   Python 142 32

4. Multi-Agent-Deep-Deterministic-Policy-Gradients Multi-Agent-Deep-Deterministic-Policy-Gradients Public

   Forked from philtabor/Multi-Agent-Deep-Deterministic-Policy-Gradients

   A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

   Python

5. Adaptive-Traffic-Signal-Control-Using-Reinforcement-Learning Adaptive-Traffic-Signal-Control-Using-Reinforcement-Learning Public

   Forked from TJ1812/Adaptive-Traffic-Signal-Control-Using-Reinforcement-Learning

   This is an application exploiting principles of Deep Reinforcement Learning. The Deep Neural Network is trained to approximate the Bellman Equation (Q-Learning).

   Python

6. MM1K_Queue_Simulation MM1K_Queue_Simulation Public

   Forked from ImanRHT/MM1K_Queue_Simulation

   A Performance Analysis of the M/M/1/K Queue Model via Discrete Event Simulation with Varied Service Orders

   Python 22