RL_Paper_Review

강화학습 논문 리뷰 by LimePencil

Key Idea	Paper	Review	Done
DQN	Playing Atari with Deep Reinforcement Learning	https://limepencil.tistory.com/38	👍
DQN	Human-level control through deep reinforcement learning	https://limepencil.tistory.com/39	👍
DRQN	Deep Recurrent Q-Learning for Partially Observable MDPs	https://limepencil.tistory.com/40	👍
DDQN	Deep Reinforcement Learning with Double Q-learning	https://limepencil.tistory.com/41	👍
Dueling DQN	Dueling Network Architectures for Deep Reinforcement Learning	https://limepencil.tistory.com/42	👍
PER	Prioritized Experience Replay	https://limepencil.tistory.com/43	👍
Noisy DQN	Noisy Networks for Exploration	https://limepencil.tistory.com/44	👍
Rainbow DQN	Rainbow: Combining Improvements in Deep Reinforcement Learning	https://limepencil.tistory.com/47	👍
Policy Gradient	Policy Gradient Methods for Reinforcement Learning with Function Approximation		✔️
Actor Critic	Actor-Critic Algorithms		✔️
A3C/A2C	Asynchronous Methods for Deep Reinforcement Learning		📆
Distributional DQN	A Distributional Perspective on Reinforcement Learning		✔️

• 👍: Done writing!
• 📝: Writing...
• ✔️: Read but not going to be written
• 📃: Reading...
• 📆: To be read