ctrnh / multi_player_multi_armed_bandit_algorithms
Implementation of state-of-the-art multi-player multi-armed bandit problem algorithms.
☆18Updated 3 years ago
Alternatives and similar repositories for multi_player_multi_armed_bandit_algorithms:
Users that are interested in multi_player_multi_armed_bandit_algorithms are comparing it to the libraries listed below
- Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning☆61Updated last year
- The visualization of a multi-agent reinforcement learning (MARL)-based strategy with efficient exploration strategy.☆17Updated 2 years ago
- This project is created for the simulations of the paper: [Wang2021] Wenbo Wang, Amir Leshem, Dusit Niyato and Zhu Han, "Decentralized L…☆31Updated 3 years ago
- Some multiagent deep reinforcement learning algorithms and its PyTorch implementation.☆11Updated 5 years ago
- OpenAI Gym Environments for the Application of Reinforcement Learning in the Simulation of Wireless Networked Feedback Control Loops☆12Updated 4 years ago
- ☆40Updated 3 years ago
- ns3-gym for multi-agent☆34Updated 4 months ago
- meta-MADDPG (Python implementation)☆18Updated 6 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆37Updated 6 years ago
- Reinforcement learning environment for MIMO communications.☆13Updated 3 years ago
- Testing different RL algorithms for multi-agent environments. From SARSA, QLearning to Independent Q-Learning, Joint Action Learning and …☆11Updated 5 years ago
- Federated Deep Reinforcement Learning for Swarm Robotic Systems☆10Updated 2 years ago
- Reinforcement Learning tool for Network Slice Placement problems☆21Updated 10 months ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆35Updated 5 years ago
- We implement MADDPG in a congestion env, and compare with several control groups to highlight the performance of MADDPG☆11Updated 3 years ago
- The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.☆26Updated 6 years ago
- Code for IEEE GLOBECOM 2023 paper "Caching for Edge Inference at Scale: A Mean Field Multi-Agent Reinforcement Learning Approach".☆11Updated 9 months ago
- Deep reinforcement learning for REsource Allocation in streaM processing☆28Updated last year
- Solves a Mixed Integer Linear Program to generate the Stacklberg Equilibrium of a General-sum (+Bayesian) Games.☆36Updated 5 years ago
- ☆13Updated 6 years ago
- ☆34Updated 7 years ago
- Dynamic channel allocation in cellular networks by reinforcement learning☆17Updated 2 years ago
- Scripts for the "ITU-ML5G-PS-006: ML5G-PHY-Reinforcement learning: scheduling and resource allocation"☆30Updated 3 years ago
- ☆27Updated last year
- Implement job scheduling based on REINFORCE and Graph Embedding.☆18Updated 4 years ago
- Decision making using Reinforcement Learning☆21Updated 5 years ago
- ☆11Updated last year
- [IJCAI'24 - FlagVNE] Implementation of our paper "FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Reso…☆21Updated last year