asynchronous-advantage-actor-critic
Here are 18 public repositories matching this topic...
Simple Reinforcement Learning Framework
-
Updated
Dec 16, 2017 - Python
Attentional Mechanism incorporated in Asynchronous Advantage Actor Critic a3c/a2c deep mind
-
Updated
Jan 9, 2018 - Python
Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.
-
Updated
Mar 10, 2018 - Python
Deep reinforcement learning agent
-
Updated
Jun 27, 2018 - Python
StarCraft II / PySC2 reinforcement learning research
-
Updated
Feb 24, 2019 - Python
Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
-
Updated
Feb 27, 2019 - Jupyter Notebook
-
Updated
Jun 16, 2019 - Python
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
-
Updated
Sep 25, 2019 - Python
Play Atari(Breakout) Game by DRL - DQN, Noisy DQN and A3C
-
Updated
May 30, 2020 - Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
-
Updated
Oct 7, 2020 - Jupyter Notebook
The Asynchronous Advantage Actor Critic (A3C) algorithm is one of the newest algorithms to be developed under the field of Deep Reinforcement Learning Algorithms. This algorithm was developed by Google’s DeepMind which is the Artificial Intelligence division of Google. In this repository, I have my implementations of A3C on Cartpole game, Robot …
-
Updated
Nov 22, 2021 - Python
Simple A3C implementation with pytorch + multiprocessing
-
Updated
Mar 10, 2023 - Python
A3C LSTM Atari with Pytorch plus A3G design
-
Updated
Apr 18, 2023 - Python
PyTorch implementation of A3C (Asynchronous Advantage Actor Critic)
-
Updated
Nov 6, 2023 - Python
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.
-
Updated
Feb 7, 2024 - Python
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
-
Updated
Mar 31, 2024 - Python
Improve this page
Add a description, image, and links to the asynchronous-advantage-actor-critic topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the asynchronous-advantage-actor-critic topic, visit your repo's landing page and select "manage topics."