DQN

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

    [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)

    [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..

    [논문 리뷰] Prioritized Experience Replay (PER)

    [논문 리뷰] Prioritized Experience Replay (PER)

    [1511.05952] Prioritized Experience Replay (arxiv.org) Prioritized Experience Replay Experience replay lets online reinforcement learning agents remember and reuse experiences from the past. In prior work, experience transitions were uniformly sampled from a replay memory. However, this approach simply replays transitions at the same frequ arxiv.org 이 논문은 DQN의 uniformly sampled experience replay..

    [논문 리뷰] Human-level Control through Deep Reinforcement Learning (DQN)

    [논문 리뷰] Human-level Control through Deep Reinforcement Learning (DQN)

    Human-level control through deep reinforcement learning | Nature 이번에는 Nature지에 발표된 DQN관련된 논문을 리뷰해보고자 한다. Playing Atari with Deep Reinforcement Learning과 거의 같은 저자들이 작성을 했는데 이는 그전 논문에서 여러 가지 실험이 추가된 것이다. 그래서 DQN에 관한 것을 알고 싶다면 밑에 있는 링크를 타고 들어가 읽으면 된다. 이번 리뷰에서는 추가된 실험들만 다루겠다. [논문 리뷰] Playing Atari with Deep Reinforcement Learning (DQN) — LimePencil's Log (tistory.com) [논문 리뷰] Playing Atari with Deep..

    [논문 리뷰] Playing Atari with Deep Reinforcement Learning (DQN)

    [논문 리뷰] Playing Atari with Deep Reinforcement Learning (DQN)

    이제부터 이 블로그에 논문을 하나씩 읽으면서 리뷰를 해보려고 한다. 아마 분야마다 시간을 순서대로 큰 영향을 미친 논문을 읽을 것 같다. 이번 논문은 강화학습에 DL을 적용한 첫 번째 성공적인 연구인 Playing Atari with Deep Reinforcement Learning을 읽어보려고 한다. 코드 구현은 다른 글로 해보겠다. [1312.5602] Playing Atari with Deep Reinforcement Learning (arxiv.org) Playing Atari with Deep Reinforcement Learning We present the first deep learning model to successfully learn control policies directly fr..