oSallyo

oSallyo's Stars

• 789508/DeepLearning

  深度学习入门教程, 优秀文章, Deep Learning Tutorial

  1

• ellemcfarlane/marl_ep

  Language:Python4

• apexrl/AORPO

  Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.

  Language:Python172

• nsidn98/InforMARL

  Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

  Language:Python6721

• openai/multiagent-particle-envs

  Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

  Language:Python2.3k785

• Huafeng-XU/Distributed-Reinforcement-Learning-for-Autonomous-Cooperation-Multi-robot-System

  Distributed Reinforcement Learning for Autonomous Cooperation Multi-robot System

  Language:Python3

• agi-brain/xuance

  XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

  Language:Python591100

• jc-bao/gym-formation

  multi-agent formation control environment implemented with MPE.

  Language:Python123

• julienroyd/coordination-marl

  Code to reproduce experiments from:

  Language:Python102

• Yuantian013/TDOM-AC

  Multi-agent Actor-Critic with Time Dynamical Opponent Model

  Language:Python72

• opendilab/DI-engine

  OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

  Language:Python3k364

• StepNeverStop/RLs

  Reinforcement Learning Algorithms Based on PyTorch

  Language:Python44893

• Eyshika/MARL-Overgeneralization

  AA228 final project

  Language:Python1

• xuruixiao/EIR-MAPPO

  Language:Python2

• dchen48/BNPG

  Language:Python61

• GT-STAR-Lab/cap-comm

  Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities

  Language:Jupyter Notebook62

• marlbenchmark/on-policy

  This is the official implementation of Multi-Agent PPO (MAPPO).

  Language:Python1.3k290

• AI4Finance-Foundation/ElegantRL

  Massively Parallel Deep Reinforcement Learning. 🔥

  Language:Python3.6k837

• fpgod/uav-rein

  Language:Python2

• JohannesAck/tf2multiagentrl

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

  Language:Python12429

• ffelten/MASAC

  Jax and Torch Multi-Agent SAC on PettingZoo API

  Language:Python566

• nooblyh/TapFinger

  Language:Python131

• songwenas12/fjsp-drl

  Language:Python20155

• MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning

  This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

  Language:MATLAB3.4k466

• BNN-UPC/MARL-GNN-TE

  Language:Python128

• ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL

  无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

  1.8k639

• YQ-XiaMLTech/SRv6-GNN

  The Incremental Deployment Method of Segment Routing over an IPv6 (SRv6) Network Based on Graph Neural Network (GNN) and Multi-Agent Reinforcement Learning (MARL)

  Language:Python7

• zhangxiaochen95/uav_bs_ctrl

  Code implementation of "Cooperative Trajectory Design of Multiple UAV Base Stations with Heterogeneous Graph Neural Networks".

  Language:Python7122

• Jacklinkk/Graph_CAVs

  The source code for our paper: Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges. This code is developed based on our previous repository TorchGRL.

  Language:Python556

• knowledgedefinednetworking/DRL-GNN

  Language:Python19035