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
Repo for the Deep Reinforcement Learning Nanodegree program
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
An elegant PyTorch deep reinforcement learning library.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Massively Parallel Deep Reinforcement Learning. 🔥
For trading. Please star.
Modularized Implementation of Deep RL Algorithms in PyTorch
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
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".
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
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