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PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic
PyTorch implementation of soft actor critic
Deep Learning and deep reinforcement learning research papers and some codes
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
General Optimal control Problem Solver (GOPS), an easy-to-use PyTorch reinforcement learning solver package for industrial control.
A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A repository of high-performing hierarchical reinforcement learning models and algorithms.
收集“导师评价”相关资源，及原“导师评价网”存档数据
A curated collection of fun and creative examples generated with Nano Banana & Nano Banana Pro🍌, Gemini-2.5-flash-image based model. We also release Nano-consistent-150K openly to support the commu…
【Zotero AI 管家】调用大模型，自动精读论文库里的论文，总结为Zotero笔记。支持主流大模型平台！您只需像往常一样把文献丢进 Zotero， 管家会自动帮您精读论文，将文章揉碎了总结为笔记，让您“十分钟完全了解”这篇论文！
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
基于2016年电工杯数学建模竞赛数据集建立的超短期以及短期负荷预测
My blogs and code for machine learning. http://cnblogs.com/pinard