Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
Pytorch Implement DRL algorithms (A2C, DDPG, PPO, TD3, SAC) for continuous action space control tasks.
DRL algorithms implemented with Pytorch
Codebase - Comparing DRL algorithms' ability to safely navigate challenging waters
Trade using DRL algorithms on tensorflow2 and tf-agents
DRL or Heuristic algorithms for MEC system
DRL algorithms for Starcraft II
Actor-Sharer-Learner training framework for off-policy DRL algorithms
Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
backtrader with DRL ( Deep Reinforcement Learning)
Parallelizing DRL for Active Flow control
Deep Reinforcement Learning
A pytorch tutorial for DRL(Deep Reinforcement Learning)
AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning
Deep Reinforcement Learning (DRL) agents applied to medical images
A ROS2-based framework for TurtleBot3 DRL autonomous navigation
#算法刷题#该仓库包含了 Python 实现的各种算法,用于学习目的。
#算法刷题#Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)
翻译 - http://e-maxx.ru译成英文
Control UR3 cobot by RL and DRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone