Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
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Updated
Mar 31, 2024 - 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/
An elegant PyTorch deep reinforcement learning library.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Minimal and Clean Reinforcement Learning Examples
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
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".
Scalable, event-driven, deep-learning-friendly backtesting library
[파이썬과 케라스로 배우는 강화학습] 예제
Multiple implementations for abstractive text summurization , using google colab
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
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..
Deep Reinforcement Learning For Sequence to Sequence Models
Reinforcement learning tutorials
A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
Implementations of Reinforcement Learning Models in Tensorflow
DEEp Reinforcement learning framework
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
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