Reinforcement Learning

[논문 리뷰] Rainbow: Combining Improvements in Deep Reinforcement Learning (Rainbow DQN)

[1710.02298] Rainbow: Combining Improvements in Deep Reinforcement Learning (arxiv.org) Rainbow: Combining Improvements in Deep Reinforcement Learning The deep reinforcement learning community has made several independent improvements to the DQN algorithm. However, it is unclear which of these extensions are complementary and can be fruitfully combined. This paper examines six extensions to the ..

[논문 리뷰] Noisy Networks for Exploration (NoisyNet)

[1706.10295] Noisy Networks for Exploration (arxiv.org) Noisy Networks for Exploration We introduce NoisyNet, a deep reinforcement learning agent with parametric noise added to its weights, and show that the induced stochasticity of the agent's policy can be used to aid efficient exploration. The parameters of the noise are learned with grad arxiv.org 이번 논문에는 DQN에 있는 fully connected layer에 param..