yigguo

DRL-code-pytorch

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

Simple-Policy-Optimization

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

FDNet

Synthetic Aperture Radar Interference Suppression

multiagent-particle-envs

多智能体小球强化学习环境

multiagent-particle-envs

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

DeepReinforcementLearningDocuments

Notes of DRL.

multi-rl-crowd-sim

Multi-Agent Reinforcement Learning of Crowd Simulation in GPU (PyTorch)

MADRL

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

MetaRLSAS

new_wargame_rl

new code

drl

Deep reinforcement leanring algorithms implemented in PyTorch

wargame_rl_online

wargame use reinforcement learning

multi_agent_game

game for board game multi_agent

EMCSimulator

EMC Simulator implemented by Python.

MacsRL

A simulator for Reinforcement Learning.

ReinforcementLearningSystem

🛩 Use Deep Reinforcement Learning Algorithms in a simple scene.

openrl

Unified Reinforcement Learning Framework

tianshou

An elegant PyTorch deep reinforcement learning library.

rl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

pfrl

PFRL: a PyTorch-based deep reinforcement learning library

DeepRL_PyTorch

Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.

DRLPytorch

Pytorch for Deep Reinforcement Learning

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

DRL-Pytorch

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

Duel-Double-DQN-Pytorch

A clean and robust implementation of Duel Double DQN

DQN_pytorch

Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch

Deep-reinforcement-learning-with-pytorch

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

awesome-multi-modal-reinforcement-learning

A curated list of Multi-Modal Reinforcement Learning resources (continually updated)

Efficient-AI-Backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.