Beast code in Giters

Snowman12135's starred repositories

DI-engine

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

Language:PythonApache-2.03029 22 202

DeepRL

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

multiagent-particle-envs

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

Language:PythonMIT2355 176 83

ccache

ccache – a fast compiler cache

Language:C++NOASSERTION2312 62 569

on-policy

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

Language:PythonMIT1290 7 92

DRL-code-pytorch

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

Language:PythonMIT1040 5 15

Mava

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

Language:PythonApache-2.0719 15 440

MADRL

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

Language:PythonMIT657 20 35

DRLib

DRLib：a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.

Language:PythonMIT513 7 13

TF2-RL

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

Language:PythonMIT299 6 4

invalid-action-masking

Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

Language:PythonMIT136 2 3

tf2multiagentrl

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

Language:Python128 1 6

ndnSIM

ndnSIM: NS-3 based NDN simulator

Language:C++GPL-3.0107 34 101

stable-baselines-zh

Stable Baselines官方文档中文版

Language:Python93 10

TensorFlow2.0-for-Deep-Reinforcement-Learning

TensorFlow 2.0 for Deep Reinforcement Learning. :octopus:

Language:Python82 4 3

IRSconfigurationDRL

Source code for "Intelligent Reflecting Surface Configurations for Smart Radio Using Deep Reinforcement Learning", IEEE JSAC.

Language:Python58 2 1

This is an ns-3 3GPP NR module for the simulation of 5G NR non-standalone cellular networks. See https://apps.nsnam.org/app/nr/ for more information, this repositiry is a github mirror of https://gitlab.com/cttc-lena/nr.

Language:C++GPL-2.039 2 3

NS3-with-LEO

This system can be used for low-orbit satellite related system experiments. This system has been configured with LEO related modules, which can be used to demonstrate the LTE　X2 handover applied to the LEO satellite channel environment.

Language:C++GPL-2.034 3 2