强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
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Jun 2, 2024 - Jupyter Notebook
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
Projects and Models built in Python leveraging PyTorch, implementing Reinforcement Learning algorithms for reward-based tasks.
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
A continuous action space version of A3C LSTM in pytorch plus A3G design
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.
Deep reinforcement learning experiments
This code implements an Asynchronous Advantage Actor-Critic (A3C) algorithm using PyTorch to train an agent to play the Atari game "Boxing"
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
I utilized the A3C (Asynchronous Advantage Actor-Critic) algorithm to train a Deep Q-Learning (DQN) model, specifically tailored to solve the Kungfu gym environment.
PyTorch-based reinforcement learning implementation of A3C and DQN algorithms for a 2-player Catan environment
A repository for the reproduction of async RL algorithms
The proceedings of top conference in 2017 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
PyTorch implementation of A3C (Asynchronous Advantage Actor Critic)
Implementation code when learning deep reinforcement learning
Pytorch implementation of Super-Resolution model using Multi-Step Reinforcement Learning
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
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