StepNeverStop

acme

A library of reinforcement learning components and agents

ConnectSix

Connect six environment training for AI Bot

DeepLearningMethods

Crawl deep learning methods from https://paperswithcode.com/methods

RL-TF1

Reinforcement learning algorithms implemented based on tensorflow 1.x

RLs

Reinforcement Learning Algorithms Based on PyTorch

RLwithUnity

Reinforcement Leanring Algorithms Trained with Unity

Staged-Experience-Mechanism

Code of `Staged Experience Mechanism (SEM)`

StepNeverStop.github.io

TF2-RL

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

UnityEnvs

Reinforcement Learning Environments with ML-Agents.

StepNeverStop/RLs

Reinforcement Learning Algorithms Based on PyTorch

StepNeverStop/DeepLearningMethods

Crawl deep learning methods from https://paperswithcode.com/methods

StepNeverStop/UnityEnvs

Reinforcement Learning Environments with ML-Agents.

StepNeverStop/RL-TF1

Reinforcement learning algorithms implemented based on tensorflow 1.x

StepNeverStop/StepNeverStop.github.io

StepNeverStop/Staged-Experience-Mechanism

Code of `Staged Experience Mechanism (SEM)`

StepNeverStop/TF2-RL

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

StepNeverStop/acme

A library of reinforcement learning components and agents

StepNeverStop/Advanced-Soft-Actor-Critic

Soft Actor-Critic with advanced features

StepNeverStop/Deep-Reinforcement-Learning-Algorithms

25 projects in the framework of Deep Reinforcement Learning algorithms: DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

StepNeverStop/StepNeverStop

StepNeverStop/CleanDiffuser

CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making

StepNeverStop/coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

StepNeverStop/d3rlpy

An offline deep reinforcement learning library

StepNeverStop/d4rl-pybullet

Datasets for Data-Driven Deep Reinforcement Learning with Pybullet environments

StepNeverStop/DeepRL

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

StepNeverStop/garage

A toolkit for reproducible reinforcement learning research

StepNeverStop/gym-collision-avoidance

StepNeverStop/highway-env

A minimalist environment for decision-making in autonomous driving

StepNeverStop/JARVIS

JARVIS, a system to connect LLMs with ML community

StepNeverStop/LAMDA-Beamer-Template

A beamer template for LAMDA lab at NJU

StepNeverStop/leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

StepNeverStop/machin

Reinforcement learning library designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

StepNeverStop/NJU-health-report

用于在 GitHub Actoin 上部署南京大学每日健康填报自动打卡脚本

StepNeverStop/off-dynamics-rl

StepNeverStop/planet

Learning Latent Dynamics for Planning from Pixels

StepNeverStop/SHU-selfreport

上海大学每日一报挂机自动打卡

StepNeverStop/shuthesis

LaTeX Thesis Template for Shanghai University

StepNeverStop/unstable_baselines

Re-implementations of SOTA RL algorithms.

StepNeverStop/xingtian

xingtian is a componentized library for the development and verification of reinforcement learning algorithms