drscnmr's Stars
aikorea/awesome-rl
Reinforcement learning resources curated
xuehy/pytorch-maddpg
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
shariqiqbal2810/maddpg-pytorch
PyTorch Implementation of MADDPG (Lowe et. al. 2017)
cyoon1729/RLcycle
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
philtabor/Multi-Agent-Deep-Deterministic-Policy-Gradients
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
sinannasir/Spectrum-Power-Allocation
Deep Reinforcement Learning for Joint Spectrum and Power Allocation in Cellular Networks code
usnistgov/ns3-oran
A module that can be used to model and simulate O-RAN-like behavior in ns-3.
roamiri/proximity
A Machine Learning Approach for Power Allocation in HetNets Considering QoS
onosproject/rimedo-ts
Rimedo Labs xApp
ishfaq06/Deep-Q-Learning-based-Downlink-Power-Allocation
A deep reinforcement learning based approach is used to allocate downlink power for multi-cell wireless system.
chikaihsieh/Power-Allocation-and-User-Device-Association-with-Deep-Reinforcement-Learning
FIVEYOUNGWOO/DQN-Based-Power-Allocation-For-Multi-Cell-Massive-MIMO
Deep Q network-based power allocation for multi-cell massive MIMO cellular network.
prasenjit52282/GridWorld
Gridworld environment creator for testing RL algorithms
xia0nan/David-Silver-Reinforcement-Learning-UCL
Study repo for David Silver's Reinforcement Learning Course
EyaRhouma/collaboration-competition-MADDPG
My solution to Collaboration and Competition using MADDPG algorithm, Udacity 3rd project of Deep RL Nanodegree from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
natanzi/ts-xapp
Traffic Steering (TS) xApp for OAIC O-RAN Testbed
tushar-ydv/VLC_NOMA
Non-orthogonal multiple access (NOMA) for Indoor Visible Light Communications. We offer a complete review of PD-NOMA-based VLC systems in this study. In addition, we discuss aspects of the PD-NOMA VLC system restrictions and challenges, such as power allocation, clipping effect, MIMO, and security.
bbabayan/RL_beliefstate
Reinforcement learning with belief state
wineslab/OAI-colosseum-ric-integration
lhvy/Taxi-v3-Q-Learning
A simple Q-learning implementation in OpenAI Gym's "Taxi-v3" environment.
yimingzhang2026/RL-for-scheduling-power-allocation
openaicellular/RIC-Deployment
Contains the deployment files for near-real time and non-real time RIC
SZU-AdvTech-2023/159-Multi-Agent-Deep-Reinforcement-Learning-for-Dynamic-Power-Allocation-in-Wireless-Networks
cm1100/deep_Qlearning
deep q learning implemented on taxi-v3 environment of open AI
lucaspellegrinelli/multi-agent-dddqn
Multi agent competitive reinforcement learning using dueling double deep Q-Networks
manabazaru/power_allocation
MuhammadShahzaibAli/Reinforcement-Learning-for-Taxi-v3-Environment
This GitHub repository contains code for implementing and evaluating different reinforcement learning algorithms on the Taxi-v3 environment using OpenAI Gym. The project focuses on two approaches: Q-Learning and Q-Network (Deep Q-Network).
sacadelmi/Deep-Reinforcement-Learning-in-OpenAI-Gym-
Implementation of Q-learning to solve the Taxi-v3 game from OpenAI Gym
tgalala/Q-Networks
Q-learning, Deep Q-Learning, Double Deep Q-Learning, Dueling Double Deep Q-Learning, Taxi V3, Lunar Landing V2
yesyigitcan/AI-Value-Iteration-Policy-Iteration-and-Q-Learning