PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Deep Reinforcement Learning with pytorch & visdom
A3C LSTM Atari with Pytorch plus A3G design
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
A continuous action space version of A3C LSTM in pytorch plus A3G design
A high-performance Atari A3C agent in 180 lines of PyTorch
Online repo for deep reinforcement learning (A3C) on generals.io
Attentional Mechanism incorporated in Asynchronous Advantage Actor Critic a3c/a2c deep mind
🤖 Implement classic and state-of-the-art deep reinforcement learning algorithms using clear PyTorch code for easy understanding and application.
Add a description, image, and links to the pytorch-a3c topic page so that developers can more easily learn about it.
To associate your repository with the pytorch-a3c topic, visit your repo's landing page and select "manage topics."