POJIANWU's Stars
jiechuanjiang/pytorch_DGN
The pytorch implementation of DGN on grid world and Starcraft
uoe-agents/derl
The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
jingwenli0312/Heterogeneous-Attentions-PDP-DRL
yudhisteer/Reinforcement-Learning-for-Supply-Chain-Management
The goal of the project was to design the logistic model of autonomous robots that would supply garment parts from the Cutting Dept to the Makeup Dept in the shortest time possible and using the most optimized path.
marmotlab/PRIMAL2
Training code PRIMAL2 - Public Repo
Bartolo1024/RL-Local-Path-Planning
WangHanfu/Multi-agent-Path-Finding-in-Warehouse
Robotic Order Fulfillment System Using Kiva-like mobile robots. Conflict-based Search multi-robot path planning.
uoe-agents/epymarl
An extension of the PyMARL codebase that includes additional algorithms and environment support
DLR-RM/rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
princewen/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
wusean1997/HRL_AGV_Navigation_MTON
A navigation algorithm for Deep Reinforcement Learning developed using the Hierarchical framework.
ZYunfeii/DRL_algorithm_library
This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
KanishkNavale/DDPG-PER-PEN
The DDPG algorithm incorporates Actor-Critic Deep Learning Agent for solving continuous action reinforcement learning problems.
Jonathan-Pearce/DDPG_PER
Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
prosysscience/RL-Job-Shop-Scheduling
Reinforcement learning approach for job shop scheduling
svikramank/DeepRLForFactoryOptimization
An approach to using reinforcement learning techniques to optimize manufacturing processes.
alex-petrenko/sample-factory
High throughput synchronous and asynchronous reinforcement learning
Sfree973/path-planning-for-crowd-simulation
m5823779/DDPG
End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo
zlm05170/asv_system
An autonomous guidance system based on DRL and optimal control
DalBigData/Vessel-RL-Environment
keon/deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
islambarakat99/Multi-Robot-Formation-Control-using-Deep-Reinforcement-Learning
A leader-follower formation control using deep reinforcement learning environment, In which every agent can learn to follow the leader agent by keeping track of a certain distance to that leader, avoiding obstacles, and avoiding collision with the other agents.
alexglzg/keras-ddpg
Python keras + tensorflow implementation of DDPG solving a custom USV environment with OpenAI gym library.
alexglzg/gym-usv
OpenAI gym environment of an Unmanned Surface Vehicle.
openai/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"