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High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
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).
ALE indicator for the lightline vim plugin
Python Implementation of Zero Shot Learning Algorithms (ALE, DeViSE, ESZSL, SAE, SJE) under ZSLGBU protocol
Teal language support for Vim
Pretty, responsive and smooth defaults for a sane ALE, gets you started in 30 seconds
A custom editor based on NeoVim and inspired from Vim and Emacs to maximise productivity.
A leaderboard of human and machine performance on the Arcade Learning Environment (ALE).
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.
24AL733 - Connected Vehicles and Security - 2nd Sem - M.Tech Automotive Electronics - ASE, CBE
FEM solver applying mesh from third-party mesh generating software
Reinforcement Learning (RL DQN) / Atari Acrobot, Breakout, and Space Invaders.
UoB Reinforcement Learning Coursework (CM30359) - Awarded 72%
ANFIS Non-Linear Regression for Average Localization Error Dataset
Proximal Policy Optimization in PyTorch