Playing Atari with Deep Reinforcement Learning 19 Dec 2013 · Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin Riedmiller
The paper from 2013 that introduced the DQN algorithm for using Deep Learning with Reinforcement Learning to play Atari game.
[Kapturowski, DeepMind, Sep 2022] "Human-level Atari 200x Faster"
Improving the 2020 Agent57 performance to be more efficeint.
Liang, Machado, Talvite, Bowling - AAMAS 2016 "State of the Art Control of Atari Games Using Shallow Reinforcement Learning"
Response paper to DQN showing that well designed Value Function Approximations can also do well at these complex tasks without the use of Deep Learning
A great paper showing how to think differently about the latest advances in Deep RL. All is not always what it seems!
Liang, Machado, Talvite, Bowling - AAMAS 2016 "State of the Art Control of Atari Games Using Shallow Reinforcement Learning"
A great paper showing how to think differently about the latest advances in Deep RL. All is not always what it seems!