policy-gradient

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.

#算法刷题#PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

#计算机科学#Minimal and Clean Reinforcement Learning Examples

#计算机科学#Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

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.

#时序数据库#Scalable, event-driven, deep-learning-friendly backtesting library

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

#自然语言处理#Deep Reinforcement Learning For Sequence to Sequence Models

#计算机科学#Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers,...

#学习与技能提升#A curated list of Monte Carlo tree search papers with implementations.

#自然语言处理#A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

#自然语言处理#Multiple implementations for abstractive text summurization , using google colab

#计算机科学#Structural implementation of RL key algorithms

DEEp Reinforcement learning framework

Implementations of Reinforcement Learning Models in Tensorflow

#计算机科学#This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch