ale

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

ALE indicator for the lightline vim plugin

✌️a Flexible and fast JavaScript view framework

🌑 Enriching python coding in Vim 🐍

Python Implementation of Zero Shot Learning Algorithms (ALE, DeViSE, ESZSL, SAE, SJE) under ZSLGBU protocol

Pretty, responsive and smooth defaults for a sane ALE, gets you started in 30 seconds

Teal language support for Vim

A leaderboard of human and machine performance on the Arcade Learning Environment (ALE).

A custom editor based on NeoVim and inspired from Vim and Emacs to maximise productivity.

Encrypted search for encrypted ActiveRecord models

VIM configuration and vim plugins managed with vim-plug

An Implementation of Attribute Label Embedding (ALE) method of Zero-Shot Learning

Simple tmLanguage package for syntax highlighting trale grammars.

Proximal Policy Optimization in PyTorch

Reinforcement Learning (RL DQN) / Atari Acrobot, Breakout, and Space Invaders.

Vim integration for protolint. https://github.com/yoheimuta/protolint

A ruby version of the arcade learning environment interface.

A desktop application to manage brewing processes for Barnaby's Brewhouse, developed with PyQt5.

Data vizualization of adults age 25 and older with a bachelor's degree or higher (2010-2014). Source: USDA Economic Research Service