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
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
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).
Minimal and Clean Reinforcement Learning Examples
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
ChainerRL is a deep reinforcement learning library built on top of Chainer.
Deep Reinforcement Learning with pytorch & visdom
Deep Reinforcement Learning For Sequence to Sequence Models
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Simple A3C implementation with pytorch + multiprocessing
A3C LSTM Atari with Pytorch plus A3G design
Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Implementations of Reinforcement Learning Models in Tensorflow
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
[파이썬과 케라스로 배우는 강화학습] 예제
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
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