Topic: marl Goto Github
Some thing interesting about marl
Some thing interesting about marl
marl,A multi agent reinforcement learning environment where two agents controlled by DRQNs play a custom version of the pursuit-evasion game.
User: 1391819
marl,POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF settings.
Organization: airi-institute
marl,An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations using Multi Independent Agent Reinforcement Learning
User: alirezashamsoshoara
Home Page: https://alirezashamsoshoara.github.io/projects
marl,A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach
User: alirezashamsoshoara
marl,The proceedings of top conference in 2021 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
User: allenpandas
marl,Emergence of complex strategies through multiagent competition
User: ankur-deka
marl,IROS 2021 - Hiding Leader’s Identity in Leader-Follower Navigation through MARL
User: ankur-deka
marl,All my GitHub projects in one place.
User: arseni1919
Home Page: https://arseni1919.github.io/GITHUB-STURCURED/
marl,Multi-agent reinforcement learning framework
User: blavad
Home Page: https://www.david-albert.fr/marl
marl,A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
User: chuacheowhuan
Home Page: https://chuacheowhuan.github.io
marl,My attempt to reproduce a water down version of PBT (Population based training) for MARL (Multi-agent reinforcement learning) using DDPPO (Decentralized & distributed proximal policy optimization) from ray[rllib].
User: chuacheowhuan
marl,Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
User: cyoon1729
marl,General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems
User: dmitrykazhdan
marl,Multi Agent Reinforcement Learning in a Predator-Prey-Grass environment
User: doesburg11
marl,A collection of MARL benchmarks based on TorchRL
Organization: facebookresearch
Home Page: https://benchmarl.readthedocs.io/
marl,This repository implements the proposed method from IEEE 2020 Paper Multi-Agent Reinforcement Learning Based Resource Allocation for UAV Networks
User: fzk1203
Home Page: https://ieeexplore.ieee.org/document/8807386
marl,train AI agents to master Free-style Gomoku(五子棋)
User: hesic73
Home Page: https://hesic73.github.io/gomoku_rl/
marl,Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
User: hijkzzz
Home Page: https://iclr-blogposts.github.io/2023/blog/2023/riit/
marl,This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.
User: hsvgbkhgbv
marl,This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.
User: hsvgbkhgbv
marl,Experimenting with meta-learning approaches to opponent modelling in MARL. Building upon previous public implementations of MADDPG and M3DDPG.
User: ianrdavies
Home Page: https://github.com/dadadidodi/m3ddpg
marl,Repository for the workshop at AMLD Africa 2021.
Organization: instadeepai
marl,A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers
Organization: instadeepai
marl,A tool for aggregating and plotting MARL experiment data.
Organization: instadeepai
Home Page: https://sites.google.com/view/marl-standard-protocol/home
marl,🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
Organization: instadeepai
marl,Continual Multi-agent Reinforcement Learning in Dynamic Environments
User: jk96491
marl,Unity로 멀티 에이전트 강화학습(MARL) 수행하기 위한 프레임 워크 제공
User: jk96491
marl,Multi-agent Reinforcement Learning Tutorial in Korean
Organization: kc-ml2
Home Page: https://tutorials.kc-ml2.com/
marl,[NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
User: lich14
marl,A toolbox with the goal of speeding up research on bargaining in MARL (cooperation problems in MARL).
Organization: longtermrisk
marl,Electroplating simulation environment
User: lshengjian
marl,Team-based Multi-agent Reinforcement Learning
User: lukeliem
marl,applying multi-agent reinforcement learning for highway-merging autonomous vehicles
User: mahmoudtaouti
marl,Studying emergent communication among agents in cooperative and competitive environments using Reinforcement Learning, game theory and replicator dynamics
User: nicoleorzan
marl,VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
Organization: proroklab
Home Page: https://vmas.readthedocs.io
marl,A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Organization: pytorch
Home Page: https://pytorch.org/rl
marl,Exploring techniques to generate diverse conventions in multi-agent settings
Organization: stanford-iliad
Home Page: http://iliad.stanford.edu/Diverse-Conventions/
marl,Multi-Agent Reinforcement Learning (MARL) papers with code
User: timebreaker
marl,A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
User: timebreaker
marl,Multi-Agent Reinforcement Learning (MARL) papers
User: timebreaker
marl,Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles
User: tinker-twins
marl,PPO and PyMARL baseline for Pogema environment
User: tviskaron
marl,Multi-agent reinforcement learning on trains, for Deep Learning class at UNIBO
User: wadaboa
Home Page: https://www.aicrowd.com/challenges/neurips-2020-flatland-challenge/
marl,A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.
User: xkiwilabs
marl,Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)
User: younggyoseo
marl,无人机动态覆盖控制;1. 实现了一个无人机点覆盖环境;2. 给出了无人机连通保持规则;3. 给出了基于MARL的控制算法
User: zhaozijie2022
marl,[ICML'23] Official PyTorch Implementation of NA2Q, and a comprehensive benchmark based on pymarl
User: zichuan-liu
Home Page: https://proceedings.mlr.press/v202/liu23be.html
marl,stress testing black-box AVs with MARL
User: zxiaoliang
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