Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
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Updated
Jul 29, 2022 - Python
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
强化学习中文教程(蘑菇书),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Minimal and Clean Reinforcement Learning Examples
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Scalable, event-driven, deep-learning-friendly backtesting library
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Deep Reinforcement Learning For Sequence to Sequence Models
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, Courses, etc..
A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
A curated list of Monte Carlo tree search papers with implementations.
Implementations of Reinforcement Learning Models in Tensorflow
DEEp Reinforcement learning framework
Multiple implementations for abstractive text summurization , using google colab
Structural implementation of RL key algorithms
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
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