StepNeverStop/RLs
Reinforcement Learning Algorithms Based on PyTorch
Ph.D. candidate at Lamda 5 group in Nanjing University. My research interest is deep reinforcement learning.
Reinforcement Learning Algorithms Based on PyTorch
Connect six environment training for AI Bot
Reinforcement Leanring Algorithms Trained with Unity
Soft Actor-Critic with advanced features
Crawl deep learning methods from https://paperswithcode.com/methods
An offline deep reinforcement learning library
Reinforcement learning algorithms implemented based on tensorflow 1.x
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
LaTeX Thesis Template for Shanghai University
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.
Reinforcement Learning Environments with ML-Agents.
JARVIS, a system to connect LLMs with ML community
Re-implementations of SOTA RL algorithms.
Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO]
A library of reinforcement learning components and agents
根据tkinter写的一个小组随机点名小案例
用于在 GitHub Actoin 上部署南京大学每日健康填报自动打卡脚本
A beamer template for LAMDA lab at NJU
上海大学每日一报挂机自动打卡
A minimalist environment for decision-making in autonomous driving
Datasets for Data-Driven Deep Reinforcement Learning with Pybullet environments
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
Code of `Staged Experience Mechanism (SEM)`
xingtian is a componentized library for the development and verification of reinforcement learning algorithms
A toolkit for reproducible reinforcement learning research
Reinforcement learning library designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...