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从零开始，手写一个RPC，任何人都能看懂

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …

Webyog provides monitoring and management tools for open source relational databases. We develop easy-to-use MySQL client tools for performance tuning and database management. Webyog's solutions in…

[CVPR22] GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning

Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)

A collection of MuJoCo based environments.

Paper list of multi-agent reinforcement learning (MARL)

Implementation of Attentive Multi Task Deep Reinforcement Learning Architecture in Tensorflow

Graph Neural Network Library for PyTorch

Build Graph Nets in Tensorflow

Code for "ALMA: Hierarchical Learning for Composite Multi-Agent Tasks" NeurIPS 2022

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

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

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

PyTorch implementation of Soft Actor-Critic (SAC)

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Multitask Environments for RL

Massively Parallel Deep Reinforcement Learning. 🔥

Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.

PyTorch Implementation of MADDPG (Lowe et. al. 2017)

Lightweight version of MAPPO to help you quickly migrate to your local environment.

Official implementation of HARL algorithms based on PyTorch.

An environment based on JSBSIM aimed at one-to-one close air combat.

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

Repo containing code for multi-agent deep reinforcement learning (MADRL).