Asynchronous Advantage Actor-Critic (A3C) algorithm for Crossy Road
-
Updated
Jan 17, 2023 - Python
Asynchronous Advantage Actor-Critic (A3C) algorithm for Crossy Road
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.
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 …
Tensorflow implementation of Reinforcement Learning methods for Atari 2600.
train_Machine_learning_to_beat_breakout
This code implements an Asynchronous Advantage Actor-Critic (A3C) algorithm using PyTorch to train an agent to play the Atari game "Boxing"
Deep reinforcement learning experiments
PyTorch implementation of Asynchronous (and Synchronous) Advantage Actor Critic
Implementation of some deep RL algorithms
Implementation of RL Algorithms with PyTorch.
Algorithm for learning how to perform tasks with only pixels and rewards as the agents understanding of the environment. The agent can learn how to play various atari games.
Attempt to implement A2C and PPO algorithm with modular properties of Maxout and LWTA. # UNFINISHED AND FAILED
This project allows to train reinforcement learning agents in pysc2 environments.
A simple A3C algorithm for google research football
Classic reinforce learning algorithms' implementation. It will be merged with study-path repo. Implemented by Pytorch.
PyTorch-based reinforcement learning implementation of A3C and DQN algorithms for a 2-player Catan environment
Asynchronous Advantage Actor-Critic using Generalized Advantage Estimation (PyTorch)
Open-zero is a research project aiming to realize the various projects of the company DeepMind
Add a description, image, and links to the a3c topic page so that developers can more easily learn about it.
To associate your repository with the a3c topic, visit your repo's landing page and select "manage topics."