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Train an AI agent to play entire SuperMarioBros game (All 32 stages)

Python 1 Updated May 24, 2023

A continuous action space version of A3C LSTM in pytorch plus A3G design

Python 256 59 Updated Apr 19, 2024

Evolution Strategies Tool

Jupyter Notebook 927 163 Updated Dec 8, 2022

An End-To-End, Lightweight and Flexible Platform for Game Research

C 2,088 287 Updated Aug 30, 2021

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

Python 3,539 831 Updated May 29, 2022

A Neural Net Training Interface on TensorFlow, with focus on speed flexibility

Python 6,293 1,811 Updated Aug 6, 2023

A3C LSTM Atari with Pytorch plus A3G design

Python 561 118 Updated Apr 18, 2023

Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.

Python 650 195 Updated Feb 25, 2020

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

15,247 2,804 Updated Feb 1, 2024

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

11,288 2,098 Updated Jun 16, 2024

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Jupyter Notebook 4,516 1,103 Updated Jul 1, 2021

DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.

Python 2,115 490 Updated Apr 2, 2023

A toolkit for developing and comparing reinforcement learning algorithms.

Python 34,385 8,592 Updated May 2, 2024

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Python 81,442 21,852 Updated Aug 19, 2024

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Python 1,218 280 Updated Sep 25, 2019