baba888888

Reinforcement-Learning-for-Sequential-Decision-and-Optimal-Control

Source Code

Hierarchical-DQN

Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https://arxiv.org/pdf/1604.06057.pdf

Actor-Sharer-Learner

Actor-Sharer-Learner training framework for off-policy DRL algorithms

ros_motion_planning

Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pure Pursuit etc.

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pomdp-py

A framework to build and solve POMDP problems. Documentation: https://h2r.github.io/pomdp-py/

pymote2.0

Wireless sensor network simulation

AirSim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

ESPPSimR

wrsnrl

DDPG_WRSN

WRSN-team

Charging-Sensors-Network-Optimization

A bi-level optimized charging algorithm for energy depletion avoidance in wireless rechargeable sensor networks

wsn

A Wireless Sensor Network simulator in Python and C++ (via SWIG).

DRL-and-graph-neural-network-for-routing-problems

This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'

multi_agent_rl_wrsn

trl

Train transformer language models with reinforcement learning.

PPOxFamily

PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）

CARSM

Code for Critic-ARSM policy gradient algorithm

tf-opt

hybrid-action-RL

Hybrid action space reinforcement learning algorithms.

jPPO-ConvNTM

[INFOCOM 2020] Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning

ObstacleAvoidanceForUAVs

Obstacle avoidance in UAVs with reinforcement learning (PPO)

DRL-code-pytorch

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

Dispatching-rules-for-FJSP

This is the official code for the baseline methods of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'

DRL-MTSP

Reinplemtation of paper "A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs"

obstacle-tower-agent

Reinforcement learning tackling challenges of third-person navigation in sparse 3D environment

SAC

Multi-Discrete Soft Actor Critic implementation on Unity's procedurally generated Obstacle Tower Environment.

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

StarLight.github.io