强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
#计算机科学#Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
An elegant PyTorch deep reinforcement learning library.
#计算机科学#High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Repo for the Deep Reinforcement Learning Nanodegree program
#算法刷题#PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
#计算机科学#Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Massively Parallel Deep Reinforcement Learning. 🔥
#计算机科学#Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
#计算机科学#PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) ...
Modularized Implementation of Deep RL Algorithms in PyTorch
#计算机科学#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)
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#计算机科学#Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
#算法刷题#This is the official implementation of Multi-Agent PPO (MAPPO).
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
#计算机科学#Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch