Topic: multiagent-reinforcement-learning Goto Github
Some thing interesting about multiagent-reinforcement-learning
Some thing interesting about multiagent-reinforcement-learning
multiagent-reinforcement-learning,This is Multi agent deep reinforcement learning repo which trains an agent to play Tennis. It trains by playing against itself.
User: abhismatrix1
multiagent-reinforcement-learning,Heuristic Search vs. Learning. "Distributed Heuristic Multi-Agent Path Finding with Communication" reproduced, trained & benchmarked with M*
User: acforvs
multiagent-reinforcement-learning,A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach
User: alirezashamsoshoara
multiagent-reinforcement-learning,Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
User: ankonzoid
multiagent-reinforcement-learning,Emergence of complex strategies through multiagent competition
User: ankur-deka
multiagent-reinforcement-learning,Lightweight multi-agent gridworld Gym environment
User: arnaudfickinger
multiagent-reinforcement-learning,Adversarial attacks in consensus-based multi-agent reinforcement learning
User: asokraju
multiagent-reinforcement-learning,Experimentation with Regularized Nash Dynamics on a GPU accelerated game
User: baskuit
multiagent-reinforcement-learning,Slither-in Inspired Snake Environment for OpenAI Gym (Part of Requests for Research 2.0)
User: bhairavmehta95
multiagent-reinforcement-learning,The TTCP CAGE Challenges are a series of public challenges instigated to foster the development of autonomous cyber defensive agents. This CAGE Challenge 4 (CC4) returns to a defence industry enterprise environment, and introduces a Multi-Agent Reinforcement Learning (MARL) scenario.
User: cage-challenge
Home Page: https://cage-challenge.github.io/cage-challenge-4/
multiagent-reinforcement-learning,Code repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)
Organization: caslab-vt
Home Page: https://caslab.ece.vt.edu/
multiagent-reinforcement-learning,A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Organization: cityflow-project
Home Page: https://cityflow-project.github.io
multiagent-reinforcement-learning,A collection of multi-agent reinforcement learning OpenAI gym environments
User: cjm715
multiagent-reinforcement-learning,Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
User: cyoon1729
multiagent-reinforcement-learning,UAV-based Cellular-Communication: Multi-Agent Deep Reinforcement Learning for Interference Management
User: devmilk
multiagent-reinforcement-learning,The Reinforcement-Learning-Related Papers of ICLR 2019
User: ewanlee
multiagent-reinforcement-learning,Reading list for adversarial perspective and robustness in deep reinforcement learning.
User: ezgikorkmaz
multiagent-reinforcement-learning,An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Organization: farama-foundation
Home Page: https://pettingzoo.farama.org
multiagent-reinforcement-learning,Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.
User: gml16
Home Page: https://arxiv.org/abs/2008.08055
multiagent-reinforcement-learning,A suite of test scenarios for multi-agent reinforcement learning.
Organization: google-deepmind
multiagent-reinforcement-learning,This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.
User: hsvgbkhgbv
multiagent-reinforcement-learning,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
multiagent-reinforcement-learning,Training in bursts for defending against adversarial policies
Organization: humancompatibleai
multiagent-reinforcement-learning,A selection of state-of-the-art research materials on decision making and motion planning.
User: jiachenli94
multiagent-reinforcement-learning,Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"
User: johannesack
Home Page: https://arxiv.org/pdf/1910.01465.pdf
multiagent-reinforcement-learning,Implementation of the Nash Q-Learning algorithm to solve simple MARL problems with two agents.
User: jtonglet
multiagent-reinforcement-learning,Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.
User: kantologist
multiagent-reinforcement-learning,Paper list of multi-agent reinforcement learning (MARL)
User: lantaoyu
multiagent-reinforcement-learning,A toolbox with the goal of speeding up research on bargaining in MARL (cooperation problems in MARL).
Organization: longtermrisk
multiagent-reinforcement-learning,Framework for integrate BDI agents and Reinforcement Learning.
User: michaelbosello
multiagent-reinforcement-learning,Total War Battle simulator for AI research
User: michelangeloconserva
multiagent-reinforcement-learning,IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
User: moratodpg
multiagent-reinforcement-learning,Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
User: nsidn98
Home Page: https://nsidn98.github.io/InforMARL/
multiagent-reinforcement-learning,OpenDILab Decision AI Engine
Organization: opendilab
Home Page: https://di-engine-docs.readthedocs.io
multiagent-reinforcement-learning,Decentralized reinforcement learning for city-scale traffic light control
User: pengyuan-zhou
multiagent-reinforcement-learning,[CoRL 2020] Learning a Decentralized Multiarm Motion Planner
Organization: real-stanford
Home Page: https://multiarm.cs.columbia.edu/
multiagent-reinforcement-learning,gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Computational Modeling Prize in High Cognition, and a NeurIPS 2020 CoopAI Workshop Best Paper.
User: rosewang2008
multiagent-reinforcement-learning,Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
Organization: salesforce
multiagent-reinforcement-learning,deep multi agent reinforcement learning tutorial book for intermediate
User: seolhokim
multiagent-reinforcement-learning,PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021
Organization: stanford-iliad
Home Page: https://ai.stanford.edu/blog/conventions/
multiagent-reinforcement-learning,PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.
Organization: stanford-iliad
multiagent-reinforcement-learning,An OpenAI gym multi-agent environment implementing the Commons Game proposed in "A multi-agent reinforcement learning model of common-pool resource appropriation"
User: tiagocuervo
multiagent-reinforcement-learning,For deep RL and the future of AI.
User: tigerneil
multiagent-reinforcement-learning,Multi-Agent Reinforcement Learning (MARL) papers with code
User: timebreaker
multiagent-reinforcement-learning,A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
User: timebreaker
multiagent-reinforcement-learning,Multi-Agent Reinforcement Learning (MARL) papers
User: timebreaker
multiagent-reinforcement-learning,We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enhanced algorithm achieves 100% win rates on SMAC-V1 and superior performance on SMAC-V2.
User: tjuhaoxiaotian
multiagent-reinforcement-learning,This repository presents a multi-agent reinforcement learning approach for energy-efficient collaborative control of base stations in 5G massive MIMO cellular networks.
User: tztsai
multiagent-reinforcement-learning,some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》
User: wwxfromtju
multiagent-reinforcement-learning,A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
User: xuehy
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