SCSC Reinforcement Learning SIG Main Page

Useful Links (Update useful links that you want to share with everyone)

Library/Environments

• TensorFlow 0.11.0 Python API documentation
• Numpy 1.10.1
• tqdm(A fast, extensible progress bar for Python)
• OpenAIGym

Posts/Slides/Explanations

• Andrew Karparthy's Deep Reinforcement Learning: Pong from Pixels
• 위 포스팅 한글 번역(최근우)
• Policy Gradient explained
• 텐서플로우 코리아 - Reinforce Pong at Gym
• 강화학습 기초 슬라이드(김태훈)
• Cartpole 예제 구현(모두의연구소)

Code Implementations

• Andrew Karparthy's Pong RL Code
• Carpedm20(김태훈)'s Deep RL Tensorflow Implementations
• WildML(Denny Britz)'s Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
• Python code for Reinforcement Learning: An Introduction

Textbook

• Reinforcement Learning: An Introduction (Richard S. Sutton and Andrew G.Barto)
• Fundamental of Reinforcement Learning (이웅원/모두의연구소)

Lecture

• 모두를 위한 머신러닝/딥러닝 강의
• Udacity Reinforcement Learning
• David Silver's RL course

Papers

• Deep Reinforcement Learning Papers 1
• Deep Reinforcement Learning Papers 2

Members (Introduce Yourself)

• 조재민 (j-min)
• 강혁 (brainsormot)
• 양지현 (corogee)
• 김성우 (cofeal)