Paper-Implementation
This repository contains implementation of some interesting algorithms mainly from the domain of machine learning, deep learning and reinforcement learning.
Implemented research papers
1.Human-level Control Through Deep Reinforcement Learning (Mnih et al. 2015)
Source: research paper
Description: Using DQN to train an RL agent to play two ATARI games: Pong and Breakout.
2.Action Recognition using Visual Attention (Sharma et al. 2016)
Source: research paper
Description: Soft attention based model for the task of action recognition in videos. I have additionally implemented parts of this research paper in this repository.
3.Mastering the Game of Go without Human Knowledge ( Silver et al. 2017)
... in progress ...